Carbon dioxide concentration prediction system, carbon dioxide concentration prediction method, and carbon dioxide concentration prediction program

JP2023179664A5Pending Publication Date: 2026-02-06ASAHI KASEI MICRODEVICES CORP
View PDF 0 Cites 0 Cited by

Patent Information

Application Number
JP2023176159
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Priority Date
2021-08-23
Filing Date
2023-10-11
Publication Date
2026-02-06

AI Technical Summary

Technical Problem

Existing systems lack efficient methods for predicting and managing carbon dioxide concentrations in enclosed spaces, particularly in power generation facilities, to ensure safe and cost-effective ventilation strategies.

Method used

A carbon dioxide concentration prediction system that utilizes a prediction unit to forecast CO2 levels based on current concentrations and environmental factors, including airflow information and operational costs of ventilation systems, and provides recommendations for adjusting ventilation to maintain safe levels.

Benefits of technology

Enables precise prediction and management of CO2 levels, reducing the risk of infection and optimizing ventilation operations by suggesting timely adjustments to ventilation systems, thereby maintaining a safe and cost-effective environment.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure 00000000_0000_ABST
    Figure 00000000_0000_ABST
Patent Text Reader

Abstract

To provide a carbon dioxide concentration prediction system, a method, and a program for controlling a carbon dioxide concentration in an internal space so as to stay at equal to or less than a threshold concentration.SOLUTION: In a carbon dioxide concentration prediction system 300, a carbon dioxide concentration prediction device 100 comprises a prediction unit for predicting, based on a current carbon dioxide concentration in an internal space of a prediction target 500 and environmental information at the prediction target, a carbon dioxide concentration in the internal space. A terminal 200 comprises a provision unit 20 for providing the carbon dioxide concentration predicted by the prediction unit. The prediction unit may further predict a change over time of the carbon dioxide concentration in the prediction target from the current carbon dioxide concentration to the carbon dioxide concentration predicted based on the current carbon dioxide concentration and the environmental information, and the provision unit may further provide the change over time of the carbon dioxide concentration.SELECTED DRAWING: Figure 2
Need to check novelty before this filing date? Find Prior Art

Description

[Technical Field]

[0001] The present invention relates to a carbon dioxide concentration prediction system, a carbon dioxide concentration prediction method, and a carbon dioxide concentration prediction program. [Background technology]

[0002] Patent Document 1 states that "We provide a technology for efficiently arranging carbon dioxide detectors that detect the concentration of carbon dioxide emitted in power generation facilities" (abstract). [Prior art document] [Patent documents] [Patent Document 1] JP 2012-008713 A Summary of the Invention

[0003] A first aspect of the present invention provides a carbon dioxide concentration prediction system. The carbon dioxide concentration prediction system includes a prediction unit that predicts the carbon dioxide concentration in an internal space based on the current carbon dioxide concentration in the internal space of a prediction target and environmental information about the prediction target, and a providing unit that provides the carbon dioxide concentration predicted by the prediction unit. The internal space contains a gas containing carbon dioxide. The environmental information further includes airflow information in the internal space. The airflow information includes at least one of information about a supply unit that supplies external gas outside the internal space to the internal space and information about an exhaust unit that exhausts internal gas, which is gas in the internal space, to the outside of the internal space. The information about the supply unit and the information about the exhaust unit include costs associated with the operation of the supply unit and the exhaust unit. The prediction unit predicts at least one of a first concentration, which is the carbon dioxide concentration in the current operating state of the supply unit and the exhaust unit, a second concentration, which is the carbon dioxide concentration when at least one of the supply unit and the exhaust unit changes from the current operating state, and costs when the carbon dioxide concentration is the second concentration. The providing unit provides at least one of the current carbon dioxide concentration, the first concentration, the second concentration, and costs.

[0004] The prediction unit may control at least one of the supply unit and the discharge unit based on the predicted second concentration so that the carbon dioxide concentration in the internal space becomes equal to or lower than the threshold concentration.

[0005] The prediction unit may further predict a change in the carbon dioxide concentration over time in the prediction target from a current carbon dioxide concentration to a carbon dioxide concentration predicted based on the current carbon dioxide concentration and the environmental information. The provision unit may further provide the change in the carbon dioxide concentration over time.

[0006] The environmental information may include at least one of a temperature and a humidity of the interior space. The prediction unit may predict at least one of a temperature and a humidity of the interior space based on at least one of a current temperature and a humidity of the interior space. The providing unit may further provide at least one of the temperature and the humidity of the interior space predicted by the prediction unit.

[0007] The first concentration may be the carbon dioxide concentration in a state where the supply unit and the discharge unit are not operating, and the second concentration may be the carbon dioxide concentration in a state where at least one of the supply unit and the discharge unit is operating.

[0008] The prediction unit may predict the carbon dioxide concentration in the interior space and the cost for each operation state of at least one of the supply unit and the discharge unit. The provision unit may provide the carbon dioxide concentration in the interior space and the cost predicted by the prediction unit for each operation state.

[0009] The prediction unit may further predict an operation start timing of at least one of the supply unit and the discharge unit based on the current carbon dioxide concentration and the first concentration, and may further predict a third concentration which is the carbon dioxide concentration when operation of at least one of the supply unit and the discharge unit is started at the operation start timing. The provision unit may further provide at least one of the operation start timing and the third concentration.

[0010] The airflow information may include at least one of information on a plurality of supply units and information on a plurality of discharge units. When the airflow information includes information on a plurality of supply units, the prediction unit may predict the second concentration for each of the plurality of supply units when each of the plurality of supply units is operating, and the providing unit may provide the second concentration for each of the plurality of supply units predicted by the prediction unit. When the airflow information includes information on a plurality of discharge units, the prediction unit may predict the second concentration for each of the plurality of discharge units when each of the plurality of discharge units is operating, and the providing unit may provide the second concentration for each of the plurality of discharge units predicted by the prediction unit.

[0011] The prediction unit may further predict at least one of a supply amount of external gas supplied to the internal space by the supply unit and an exhaust amount of internal gas exhausted to the outside of the internal space by the exhaust unit based on the carbon dioxide concentration in the prediction target. The providing unit may further provide at least one of the supply amount of external gas and the exhaust amount of internal gas predicted by the prediction unit.

[0012] The prediction unit may further predict the carbon dioxide concentration in the internal space based on the current carbon dioxide concentration, the environmental information, and at least one of the amount of external gas supplied and the amount of internal gas discharged.

[0013] The prediction unit may further predict the size of the internal space based on an image of the internal space captured by the imaging unit, and may further predict the carbon dioxide concentration of the internal space based on the predicted size of the internal space.

[0014] The environmental information may include number information that is information about the number of living organisms present in the internal space. The prediction unit may further predict the carbon dioxide concentration in the internal space based on the number information of living organisms.

[0015] The environmental information may include motion information of a living organism present in the internal space. The prediction unit may further predict the carbon dioxide concentration in the internal space based on the motion information of the living organism.

[0016] The prediction unit may acquire motion information of the living body based on at least one of an image of the internal space captured by the imaging unit and a sound of the living body acquired by the sound acquisition unit.

[0017] The prediction unit may correct the amount of carbon dioxide emitted by the living organism based on the number information of the living organism and the motion information of the living organism, and predict the carbon dioxide concentration in the internal space based on the corrected amount of carbon dioxide.

[0018] The prediction unit may correct the amount of carbon dioxide to be excreted by the living body based on the planned stay of the living body in the internal space, and predict the carbon dioxide concentration in the internal space based on the corrected amount of carbon dioxide.

[0019] The prediction system may further include a plurality of terminals and a determination unit that determines whether the carbon dioxide concentration predicted by the prediction unit is greater than a threshold concentration, which is a threshold value for the carbon dioxide concentration in the interior space. Each of the plurality of terminals may have a memory unit and a providing unit. The memory unit may store the threshold concentration. The prediction unit may predict a second concentration. The determination unit may determine whether the second concentration predicted by the prediction unit is greater than each threshold concentration stored in the respective memory units. When the determination unit determines that the second concentration is greater than the threshold concentration stored in the memory unit of one of the plurality of terminals, the providing unit of the one terminal may provide warning information regarding the carbon dioxide concentration in the interior space.

[0020] The memory unit may store a correlation between the carbon dioxide concentration in the internal space and the labor cost of the living organism present in the internal space. The prediction unit may predict the labor cost of the living organism corresponding to the carbon dioxide concentration in the internal space based on the correlation stored in the memory unit. If the labor cost of the living organism predicted by the prediction unit is equal to or greater than a predetermined labor cost threshold, the supply unit may supply external gas to the internal space, or the exhaust unit may exhaust internal gas to the outside of the internal space.

[0021] The prediction unit may further predict an operation start timing of at least one of the supply unit and the discharge unit based on the current carbon dioxide concentration and the predicted carbon dioxide concentration in the internal space, and may further predict a fourth concentration which is the carbon dioxide concentration when operation of at least one of the supply unit and the discharge unit is started at the operation start timing. The providing unit may further provide at least one of the operation start timing and the fourth concentration.

[0022] A second aspect of the present invention provides a carbon dioxide concentration prediction method. The carbon dioxide concentration prediction method includes a prediction step in which a prediction unit predicts the carbon dioxide concentration in an internal space of a prediction target based on the current carbon dioxide concentration in the internal space and environmental information about the prediction target, and a provision step in which a provision unit provides the carbon dioxide concentration predicted in the prediction step. The internal space contains a gas containing carbon dioxide. The environmental information further includes airflow information in the internal space. The airflow information includes at least one of information about a supply unit that supplies external gas outside the internal space to the internal space and information about an exhaust unit that exhausts internal gas, which is gas in the internal space, to the outside of the internal space. The information about the supply unit and the information about the exhaust unit include costs associated with the operation of the supply unit and the exhaust unit. The prediction step is a step in which the prediction unit predicts at least one of a first concentration, which is the carbon dioxide concentration in the current operating state of the supply unit and the exhaust unit, a second concentration, which is the carbon dioxide concentration when at least one of the supply unit and the exhaust unit changes from the current operating state, and costs when the carbon dioxide concentration is the second concentration. The providing step is a step in which the providing unit provides at least one of the current carbon dioxide concentration, the first concentration, the second concentration, and the cost.

[0023] In a third aspect of the present invention, there is provided a carbon dioxide concentration prediction program, which causes a computer to execute a carbon dioxide concentration prediction method.

[0024] The above summary of the invention does not list all of the features of the present invention, and subcombinations of these features may also be inventions. [Brief explanation of the drawings]

[0025] [Figure 1] FIG. 1 is a diagram illustrating an example of a prediction target 500 according to an embodiment of the present invention. [Figure 2] FIG. 1 is a block diagram showing an example of a carbon dioxide concentration prediction system 300 according to an embodiment of the present invention. [Figure 3] 1 is a diagram showing an example of the relationship between the CO2 (carbon dioxide) concentration in the internal space 508 measured by the CO2 (carbon dioxide) sensor 400 and time t. [Figure 4] 1 is a diagram showing an example of the relationship between the CO2 (carbon dioxide) concentration in the internal space 508 measured by the CO2 (carbon dioxide) sensor 400 and time t. [Figure 5] 1 is a diagram showing an example of the relationship between the CO2 (carbon dioxide) concentration in the internal space 508 measured by the CO2 (carbon dioxide) sensor 400 and time t. [Figure 6] FIG. 6 is a diagram for explaining an example of the prediction of concentration Cf by the prediction unit 10 in the examples of FIGS. 3 to 5. [Figure 7] 10 is a diagram showing an example of providing a concentration Cf by a providing unit 20. FIG. [Figure 8] 10 is a diagram showing another example of the provision of concentration Cf by the provision unit 20. FIG. [Figure 9] 10 is a diagram showing another example of the provision of concentration Cf by the provision unit 20. FIG. [Figure 10] 10 is a diagram showing another example of the provision of concentration Cf by the provision unit 20. FIG. [Figure 11] 10 is a diagram showing another example of the provision of concentration Cf by the provision unit 20. FIG. [Figure 12] 10 is a diagram showing another example of the provision of concentration Cf by the provision unit 20. FIG. [Figure 13] FIG. 3 is a block diagram showing another example of a carbon dioxide concentration prediction system 300 according to an embodiment of the present invention. [Figure 14] FIG. 10 is a diagram showing another example of a prediction target 500 according to an embodiment of the present invention. [Figure 15]FIG. 3 is a block diagram showing another example of a carbon dioxide concentration prediction system 300 according to an embodiment of the present invention. [Figure 16] FIG. 3 is a block diagram showing another example of a carbon dioxide concentration prediction system 300 according to an embodiment of the present invention. [Figure 17] 10 is a diagram showing another example of the relationship between the CO2 (carbon dioxide) concentration in the internal space 508 measured by the CO2 (carbon dioxide) sensor 400 and time t. FIG. [Figure 18] FIG. 10 is a diagram showing another example of a prediction target 500 according to an embodiment of the present invention. [Figure 19] FIG. 3 is a block diagram showing another example of a carbon dioxide concentration prediction system 300 according to an embodiment of the present invention. [Figure 20] FIG. 3 is a block diagram showing another example of a carbon dioxide concentration prediction system 300 according to an embodiment of the present invention. [Figure 21] 10 is a diagram showing an example of a method for predicting the CO2 (carbon dioxide) concentration in the internal space 508. FIG. [Figure 22] 10 is a diagram showing an example of a method for acquiring motion information Im of a living body 90. FIG. [Figure 23] 10 is a diagram showing another example of a method for acquiring the motion information Im of the living body 90. FIG. [Figure 24] FIG. 3 is a block diagram showing another example of a carbon dioxide concentration prediction system 300 according to an embodiment of the present invention. [Figure 25] FIG. 10 is a conceptual diagram showing an example of the correlation between labor costs and ventilation volume. [Figure 26] FIG. 3 is a block diagram showing another example of a carbon dioxide concentration prediction system 300 according to an embodiment of the present invention. [Figure 27] FIG. 3 is a block diagram showing another example of a carbon dioxide concentration prediction system 300 according to an embodiment of the present invention. [Figure 28] 1 is a flowchart illustrating an example of a carbon dioxide concentration prediction method according to an embodiment of the present invention. [Figure 29] 10 is a flowchart showing another example of a carbon dioxide concentration prediction method according to an embodiment of the present invention. [Figure 30] FIG. 2 is a diagram showing an example of a computer 2200 in which the carbon dioxide concentration prediction device 100 or the carbon dioxide concentration prediction system 300 according to an embodiment of the present invention may be implemented in whole or in part. DETAILED DESCRIPTION OF THE INVENTION

[0026] The present invention will be described below through embodiments of the invention, but the following embodiments do not limit the scope of the invention according to the claims. Furthermore, not all of the combinations of features described in the embodiments are necessarily essential to the solution of the invention.

[0027] FIG. 1 is a diagram showing an example of a prediction object 500 according to an embodiment of the present invention. The prediction object 500 is an object for predicting a CO2 (carbon dioxide) concentration. The prediction object 500 refers to a space surrounding a room 501. In FIG. 1, the prediction object 500 is indicated by a rough dashed line.

[0028] The internal space 508 is a space inside the room 501. The internal space 508 is a space isolated from the outside of the internal space 508. The internal space 508 contains a gas containing CO2 (carbon dioxide). This gas is referred to as internal gas 504. The external space 502 is a space outside the room 501. The external space 502 is a space outside the internal space 508. The prediction target 500 may include the internal space 508 and the external space 502. The gas in the external space 502 is referred to as external gas 503.

[0029] The room 501 may be provided with at least one of a supply unit 507 and an exhaust unit 509. In this example, the room 501 is provided with both the supply unit 507 and the exhaust unit 509. The supply unit 507 supplies the external gas 503 to the internal space 508. The exhaust unit 509 exhausts the internal gas 504 to the external space 502. At least one of the supply unit 507 and the exhaust unit 509 may adjust the quality of the internal gas 504 by circulating or purifying the internal gas 504. The supply unit 507 is, for example, an air conditioner, an air purifier, an air conditioner, a window, an HVAC (Heating, Ventilation, and Air Conditioning) system, etc. The exhaust unit 509 is, for example, a ventilation fan, a vent, a window, an HVAC (Heating, Ventilation, and Air Conditioning) system, etc.

[0030] The supply amount of external gas 503 supplied by supply unit 507 is defined as supply amount Q. Supply amount Q may be the volume or mass of external gas 503. The discharge amount of internal gas 504 discharged by discharge unit 509 is defined as discharge amount Q'. Discharge amount Q' may be the volume or mass of internal gas 504. Discharge amount Q' may be equal to supply amount Q.

[0031] A living organism 90 may be present in the internal space 508. The living organism 90 is a living organism that repeatedly exhales and inhales air from and into the lungs. In this example, the living organism 90 is a human being. The living organism 90 emits CO2 (carbon dioxide) into the internal space 508. The amount of CO2 (carbon dioxide) emitted by the living organism 90 into the internal space 508 is referred to as the emission rate E co2 Emissions E co2 may be the amount of CO2 (carbon dioxide) emitted by the living body 90 per unit time. co2 may be the volume or mass of CO2 (carbon dioxide) excreted by the living body 90.

[0032] A CO2 (carbon dioxide) sensor 400 may be disposed in the interior space 508. The CO2 (carbon dioxide) sensor 400 measures the concentration of CO2 (carbon dioxide) in the interior space 508.

[0033] An infection source 512 may be present in the internal space 508. In FIG. 1, the infection source 512 is indicated by a star. The infection source 512 may be, for example, a virus, a bacterium, or the like. The infection source 512 may be contained in the internal gas 504 or the external gas 503. The infection source 512 may be, for example, the SARS-CoV-2 virus. The SARS-CoV-2 virus is the so-called novel coronavirus. When a living organism 90 (see FIG. 1) is infected with the infection source 512, the infection source 512 expelled by the exhaled breath of the living organism 90 may be present in the prediction target 500.

[0034] An imaging unit 80 may be disposed in the internal space 508. The imaging unit 80 is, for example, a camera. The imaging unit 80 may be a thermography camera that measures the body temperature of the living body 90. The imaging unit 80 captures an image of the internal space 508. The imaging unit 80 may capture a still image or a moving image.

[0035] A LIDAR system may be disposed in the internal space 508. LIDAR (Light Detection and Ranging) is a technology that measures the distance between a LIDAR and an object by irradiating the object with laser light and measuring the reflected light with an optical sensor, or that irradiates the object with laser light to create an image of the space irradiated with the laser light. The carbon dioxide concentration prediction system 300 (described below) can obtain at least one of the following information using the LIDAR system: the distance between multiple living organisms 90, position information of the living organisms 90, and information on the size of the internal space 508.

[0036] The prediction target 500 may be provided with a sound acquisition unit 82. The sound acquisition unit 82 is, for example, a microphone. The sound acquisition unit 82 acquires the sound of the living body 90.

[0037] Fig. 2 is a block diagram showing an example of a carbon dioxide concentration prediction system 300 according to an embodiment of the present invention. The carbon dioxide concentration prediction system 300 includes a prediction unit 10 and a providing unit 20. The carbon dioxide concentration prediction system 300 may include a carbon dioxide concentration prediction device 100 and a terminal 200. In Fig. 2, the range of the carbon dioxide concentration prediction device 100 is indicated by a dashed line, and the range of the terminal 200 is indicated by a dashed line. In this example, the carbon dioxide concentration prediction device 100 includes the prediction unit 10, and the terminal 200 includes the providing unit 20.

[0038] The carbon dioxide concentration prediction device 100 may have a CO2 (carbon dioxide) sensor 400, an environmental information acquisition unit 180, and a transmission unit 50. The environmental information acquisition unit 180 acquires environmental information. This environmental information is referred to as environmental information Ie. The environmental information Ie will be described later. The environmental information acquisition unit 180 may include an imaging unit 80 and an audio acquisition unit 82. The transmission unit 50 transmits the prediction result predicted by the prediction unit 10. This prediction result is referred to as prediction result Rp.

[0039] The prediction unit 10 may be a CPU (Central Processing Unit). The carbon dioxide concentration prediction device 100 may be a computer including the CPU, a memory, an interface, etc. The carbon dioxide concentration prediction device 100 may be a portable computer such as a tablet, or may be a mobile terminal. The carbon dioxide concentration prediction device 100 may be a computer on the cloud.

[0040] The terminal 200 may include a receiving unit 52. The receiving unit 52 receives the prediction result Rp transmitted by the transmitting unit 50. The transmitting unit 50 may transmit the prediction result Rp wirelessly or via a wired connection. The receiving unit 52 may receive the prediction result Rp wirelessly or via a wired connection. The wireless connection may refer to short-range wireless communication such as Wi-Fi (registered trademark) or Bluetooth (registered trademark).

[0041] The providing unit 20 may have a control unit 18, a display unit 30, and an audio output unit 32. The providing unit 20 may have at least one of the display unit 30 and the audio output unit 32. In this example, the providing unit 20 has both the display unit 30 and the audio output unit 32.

[0042] The display unit 30 displays the prediction result Rp. The display unit 30 is, for example, a display, a monitor, etc. If the terminal 200 is a tablet computer, the display unit 30 may be the display of the tablet computer.

[0043] The audio output unit 32 outputs audio related to the prediction result Rp. The audio output unit 32 is, for example, a speaker. The audio related to the prediction result Rp is, for example, an alarm sound that warns that the CO2 (carbon dioxide) concentration in the internal space 508 is approaching a predetermined concentration.

[0044] The control unit 18 may be a CPU (Central Processing Unit). The terminal 200 may be a mobile terminal equipped with the CPU, or may be a portable computer such as a tablet. The terminal 200 may be a computer equipped with the CPU, memory, an interface, etc.

[0045] The control unit 18 causes the display unit 30 to display the prediction result Rp received by the receiving unit 52, and causes the audio output unit 32 to output it. The provision unit 20 providing the prediction result Rp may mean that the control unit 18 causes the display unit 30 to display the prediction result Rp, or may mean that the audio output unit 32 outputs the prediction result Rp.

[0046] 3 to 5 are diagrams showing an example of the relationship between the CO2 (carbon dioxide) concentration in the internal space 508 measured by the CO2 (carbon dioxide) sensor 400 (see FIG. 1) and time t. In FIGS. 3 to 5, the CO2 (carbon dioxide) sensor 400 starts measuring the CO2 (carbon dioxide) concentration at time t1 and continues measuring the CO2 (carbon dioxide) concentration until time t2. Time t1 is a time a predetermined time before time t2. This time is defined as time T1. A time a predetermined time after time t2 is defined as time tf. This time is defined as time Tf. Time t2 may be the current time. Time t2 may be updated sequentially after time t1.

[0047] The prediction unit 10 (see FIG. 2) predicts the CO2 (carbon dioxide) concentration in the internal space 508 (see FIG. 1) based on the current CO2 (carbon dioxide) concentration in the internal space 508 and the environmental information Ie in the prediction target 500. The current CO2 (carbon dioxide) concentration may refer to the CO2 (carbon dioxide) concentration during time T1 in FIG. 3. The current CO2 (carbon dioxide) concentration is defined as concentration Cp.

[0048] The CO2 (carbon dioxide) concentration predicted by the prediction unit 10 (see FIG. 2) may refer to the CO2 (carbon dioxide) concentration at time tf. If time t2 is the current time, time tf is a future time. The CO2 (carbon dioxide) concentration predicted by the prediction unit 10 at time tf is defined as concentration Cf. Note that the prediction result Rp mentioned above refers to concentration Cf.

[0049] A predetermined threshold concentration of CO2 (carbon dioxide) in the internal space 508 (see FIG. 1) is defined as a threshold concentration Cth. The threshold concentration Cth is, for example, a concentration of CO2 (carbon dioxide) at which the risk of a living organism 90 (see FIG. 1) present in the internal space 508 being infected by an infection source 512 (see FIG. 1) is equal to or greater than a predetermined rate. If the infection source 512 is the SARS-CoV-2 virus, the threshold concentration Cth may be a concentration of CO2 (carbon dioxide) at which it is determined that the living organism 90 is highly likely to be in a closed, crowded, and close-contact state (the so-called "three Cs" state). The threshold concentration Cth is, for example, 1000 ppm. Note that the risk of infection by the infection source 512 may vary from region to region and from period to period. The threshold concentration Cth may be changed in accordance with changes in the risk of infection from region to region and from period to period. The threshold concentration Cth may be changed by online control, etc.

[0050] The environmental information Ie is information related to the environment of the prediction target 500 (see FIG. 1). The environmental information Ie may include information related to CO2 (carbon dioxide) concentration. The information related to CO2 (carbon dioxide) concentration may refer to the time rate of change of CO2 (carbon dioxide) concentration during time T1, or may refer to the time rate of change of CO2 (carbon dioxide) concentration during time Tf.

[0051] The environmental information Ie may include information related to the living body 90 (see FIG. 1). The information related to the living body 90 (see FIG. 1) may refer to information that may affect the risk of infection from the infection source 512 (see FIG. 1) in the prediction target 500 (see FIG. 1). The information related to the living body 90 may include information such as the emission amount E co2 (See FIG. 1) may be included. This information is referred to as emission amount information Ic.

[0052] Emission information Ic is the amount of CO2 (carbon dioxide) emitted by living organisms E co2The emission information Ic may include at least one of sound information Iv (described later) of the living organism 90 (see FIG. 1), number information In (described later) of the living organism 90, body temperature information of the living organism 90, exposure information of the nose or mouth of the living organism 90, staying time information of the living organism 90, and movement information Im (described later) of the living organism 90. The environmental information Ie may include at least one of position information of the living organism 90 in the internal space 508 (see FIG. 1) and, when multiple living organisms 90 are present in the internal space 508, distance information between the multiple living organisms 90.

[0053] The environmental information Ie may include information on particulate matter suspended in the interior space 508. The particulate matter is, for example, PM (Particle Matter) 2.5. The particulate matter can be detected by the above-mentioned LIDAR system or dust sensor.

[0054] In the carbon dioxide concentration prediction system 300, the prediction unit 10 (see FIG. 2) predicts the CO2 (carbon dioxide) concentration Cf in the internal space 508 (see FIG. 1) based on the concentration Cp (current CO2 (carbon dioxide) concentration) in the internal space 508 and the environmental information Ie. This allows the user of the carbon dioxide concentration prediction system 300 to recognize the concentration Cf in the internal space 508. The user of the carbon dioxide concentration prediction system 300 can recognize whether the concentration Cf exceeds the threshold concentration Cth.

[0055] Note that Fig. 3 shows an example of a case where the concentration Cf does not exceed the threshold concentration Cth, and Fig. 4 shows an example of a case where the concentration Cf exceeds the threshold concentration Cth. Fig. 5 shows an example of a case where the CO2 (carbon dioxide) concentration measured by the CO2 (carbon dioxide) sensor 400 (see Fig. 1) exceeds the threshold concentration Cth during a time T1.

[0056] FIG. 6 is a diagram for explaining an example of the prediction of concentration Cf by the prediction unit 10 in the examples of FIGS. 3 to 5. The CO2 (carbon dioxide) concentration in the internal space 508 (see FIG. 1) is defined as concentration c. The CO2 (carbon dioxide) concentration in the external space 502 (see FIG. 1) is defined as concentration c. oAssume that the supply amount Q of the external gas 503 (see FIG. 1) is equal to the discharge amount Q' of the internal gas 504 (see FIG. 1). Assume that the volume of the internal space 508 is volume V. The change over time in the CO2 (carbon dioxide) concentration in the internal space 508 is expressed by the following equation 1.

number

[0057] By transforming Equation 1, the following Equation 2 is obtained.

number

[0058] In FIG. 6, the actual measured values ​​of the CO2 (carbon dioxide) concentration (c-c0) are plotted with black circles. The actual measured values ​​of the CO2 (carbon dioxide) concentration (c-c0) may be stored in the storage unit 40 (see FIG. 20 described later). The actual measured values ​​of the CO2 (carbon dioxide) concentration (c-c0) from time t1 to time t2 may be fitted using Equation 2. In FIG. 6, the fitting result of the actual measured values ​​of the CO2 (carbon dioxide) concentration (c-c0) using Equation 2 is shown with a rough dashed line. In FIG. 6, the rough dashed line after time t2 is shown with a thick line. When the time change of the CO2 (carbon dioxide) concentration (c-c0) follows Equation 2, the CO2 (carbon dioxide) concentration (c-c0) maintains a constant value (E co2 / Q).

[0059] For concentration c0, a CO2 (carbon dioxide) concentration in the internal space 508 measured when no living organisms 90 are present in the internal space 508 and the internal space 508 is sufficiently ventilated may be used. For concentration c0, a CO2 (carbon dioxide) concentration obtained from a satellite or public measurement institution may be used, or a CO2 (carbon dioxide) concentration generally assumed in the external space 502 may be used. A CO2 (carbon dioxide) concentration generally assumed in the external space 502 is, for example, 400 ppm.

[0060] As a result of fitting with Equation 2, the CO2 (carbon dioxide) concentration (c-c0) is kept constant (E co2 The time t at which the CO2 (carbon dioxide) concentration (c-c0) reaches a predetermined ratio to the CO2 (carbon dioxide) concentration (c-c0) is set to a constant value (E co2 / Q) is reached. co2 / Q). The ratio is, for example, 95%. Note that time tf is any time between time t2 and time tm.

[0061] The time from time t1 to time tm is defined as time T2. When the CO2 (carbon dioxide) concentration (c-c0) reaches a constant value (E co2 In order to be considered to have reached the maximum allowable temperature (T2 / Q), T2 is preferably 3 times or more, more preferably 10 times or more, of T1.

[0062] The prediction unit 10 (see FIG. 2) may predict the CO2 (carbon dioxide) concentration (concentration Cf) in the internal space 508 at time tf using Equation 2. The prediction unit 10 may predict the concentration Cf using Equation 2 based on an actual measurement value of the CO2 (carbon dioxide) concentration (c-c0) stored in the storage unit 40 (described later). The prediction unit 10 may continue to update the concentration Cf predicted using Equation 2 based on a plurality of the actual measurement values ​​from time t1 onward until time t2 as time t2 is updated.

[0063] Time t2 may continue to be updated until a predetermined time later than time t1. This predetermined time is designated time t2e. When time t2 reaches time t2e, updating of time t2 may be terminated.

[0064] FIG. 7 is a diagram showing an example of provision of concentration Cf by providing unit 20 (see FIG. 2). In this example, terminal 200 is a smartphone. Providing unit 20 (see FIG. 2) provides concentration Cf predicted by prediction unit 10 (see FIG. 2). Providing unit 20 may provide concentration Cp (current CO2 (carbon dioxide) concentration) and concentration Cf in the prediction target. In this example, control unit 18 (see FIG. 2) of terminal 200 (smartphone) causes display unit 30 to display concentration Cf.

[0065] "Now" shown in Fig. 7 may refer to time t2 in Figs. 3 to 6. "Five minutes later" shown in Fig. 7 may refer to time tf in Figs. 3 to 6. In this example, the display unit 30 displays that the concentration Cp is 890 ppm and the concentration Cf is 1003 ppm.

[0066] The providing unit 20 (see FIG. 2) may provide warning information indicating that the CO2 (carbon dioxide) concentration is greater than the threshold concentration Cth. In this example, a concentration Cp of 890 ppm is less than the threshold concentration Cth, and a concentration Cf of 1003 ppm is equal to or greater than the threshold concentration Cth. In this example, the display unit 30 displays a white circle indicating that the concentration Cp is less than the threshold concentration Cth, and a black circle indicating that the concentration Cf is equal to or greater than the threshold concentration Cth, as warning information.

[0067] The prediction unit 10 (see FIG. 2) may predict the time change of the CO2 (carbon dioxide) concentration in the prediction target 500 from the concentration Cp to the concentration Cf. In this example, the prediction unit 10 predicts the time change of the CO2 (carbon dioxide) concentration after time t2. The time change of the CO2 (carbon dioxide) concentration indicates the roughly dashed line portion in the examples shown in FIGS. 3 to 6.

[0068] The providing unit 20 may further provide the time change in the CO2 (carbon dioxide) concentration predicted by the predicting unit 10. Providing the time change in the CO2 (carbon dioxide) concentration by the providing unit 20 may mean that the providing unit 20 causes the display unit 30 to display the relationship between the CO2 (carbon dioxide) concentration and time t shown in Figures 3 to 5.

[0069] FIG. 8 is a diagram showing another example of provision of concentration Cf by provision unit 20 (see FIG. 2). In this example, terminal 200 is a notebook computer. In this example, control unit 18 (see FIG. 2) of terminal 200 (notebook computer) causes display unit 30 to display concentration Cf. As in the example of FIG. 7, in this example, display unit 30 displays a white circle indicating that concentration Cp is less than threshold concentration Cth, and a black circle indicating that concentration Cf is equal to or greater than threshold concentration Cth.

[0070] FIG. 9 is a diagram showing another example of providing the concentration Cf by the providing unit 20 (see FIG. 2). In this example, the terminal 200 is smart glasses. In this example, the control unit 18 (see FIG. 2) of the terminal 200 (smart glasses) displays the concentration Cf on the display unit 30. In this example, it is also assumed that the concentration Cp is less than the threshold concentration Cth, and the concentration Cf is equal to or greater than the threshold concentration Cth. In this example, the display unit 30 displays the background of the display of the concentration Cp in a different manner from the background of the display of the concentration Cf. In FIG. 9, the background of the display of the concentration Cf is shown hatched, but the background may be displayed in a color different from the background of the display of the concentration Cp.

[0071] FIG. 10 is a diagram showing another example of provision of concentration Cf by provision unit 20 (see FIG. 2). In this example, terminal 200 is a smartwatch. In this example, control unit 18 (see FIG. 2) of terminal 200 (smartwatch) displays concentration Cf on display unit 30 and vibrates terminal 200. In this example, display unit 30 displays a message indicating that concentration Cf will be equal to or greater than threshold concentration Cth at time tf (the display of "5 minutes later" in FIG. 10).

[0072] FIG. 11 is a diagram showing another example of provision of concentration Cf by provision unit 20 (see FIG. 2). In this example, terminal 200 is a smart speaker. Terminal 200 may be a stationary speaker. In this example, control unit 18 (see FIG. 2) of terminal 200 (smart speaker) causes audio output unit 32 to output concentration Cf. In this example, audio output unit 32 outputs an announcement that concentration Cf will be equal to or greater than threshold concentration Cth at time tf (the display of "5 minutes later" in FIG. 10). Note that terminal 200 may be an earphone.

[0073] FIG. 12 is a diagram showing another example of provision of concentration Cf by provision unit 20 (see FIG. 2). In this example, terminal 200 is a smart wall, a smart desk, and a smart window. In this example, control unit 18 (see FIG. 2) of terminal 200 (smart wall, etc.) displays concentration Cf on display unit 30. In this example, display unit 30 displays the relationship between CO2 (carbon dioxide) concentration and time t shown in any of FIGS. 3 to 5.

[0074] 13 is a block diagram showing another example of a carbon dioxide concentration prediction system 300 according to an embodiment of the present invention. In this example, the environmental information Ie further includes airflow information in the internal space 508. This airflow information is referred to as airflow information Iaf. The airflow information Iaf is information about devices that affect the airflow in the internal space 508. The airflow information Iaf may include at least one of information from the supply unit 507 (see FIG. 1) and information from the discharge unit 509 (see FIG. 1).

[0075] The information of the supply unit 507 (see FIG. 1) may refer to the volume or mass of the external gas 503 supplied by the supply unit 507 per unit time. The volume or mass of the external gas 503 supplied by the supply unit 507 may refer to the volume or mass of the external gas 503 actually supplied by the supply unit 507. The volume or mass of the external gas 503 supplied by the supply unit 507 may refer to a general volume or mass of the external gas 503 supplied by the supply unit 507. The general volume or mass may be a specification value of the volume or mass of the external gas 503 supplied by the supply unit 507. The information of the supply unit 507 may refer to position information of the supply unit 507 in the internal space 508. The information of the supply unit 507 is referred to as supply unit information Isp.

[0076] The information of the exhaust unit 509 (see FIG. 1 ) may refer to the volume or mass of the internal gas 504 exhausted by the exhaust unit 509 per unit time. The volume or mass of the internal gas 504 exhausted by the exhaust unit 509 may refer to the volume or mass of the internal gas 504 actually exhausted by the exhaust unit 509. The volume or mass of the internal gas 504 exhausted by the exhaust unit 509 may refer to a general volume or mass of the internal gas 504 exhausted by the exhaust unit 509. The general volume or mass may be a specification value of the volume or mass of the internal gas 504 exhausted by the exhaust unit 509. The information of the exhaust unit 509 may refer to position information of the exhaust unit 509 in the internal space 508. The information of the exhaust unit 509 is referred to as exhaust unit information Iex.

[0077] The prediction unit 10 may predict a CO2 (carbon dioxide) concentration in the current operating state of the supply unit 507 and the discharge unit 509. The CO2 (carbon dioxide) concentration is defined as a first concentration Cf1. The first concentration Cf1 may be a CO2 (carbon dioxide) concentration in a state in which the supply unit 507 and the discharge unit 509 are not operating. The state in which the supply unit 507 and the discharge unit 509 are not operating may refer to a state in which the internal space 508 is not mechanically ventilated. The state in which the internal space 508 is not mechanically ventilated may refer to a state in which artificial ventilation is not performed, such as by operating at least one of the supply unit 507 and the discharge unit 509. The state in which the internal space 508 is not mechanically ventilated may include a state in which natural ventilation is performed, such as ventilation through gaps such as windows provided in the room 501 (see FIG. 1).

[0078] The prediction unit 10 may predict the CO2 (carbon dioxide) concentration when at least one of the supply unit 507 and the discharge unit 509 changes from the current operating state. The CO2 (carbon dioxide) concentration is defined as a second concentration Cf2. The second concentration Cf2 may be the CO2 (carbon dioxide) concentration in a state in which at least one of the supply unit 507 and the discharge unit 509 is operating. The state in which at least one of the supply unit 507 and the discharge unit 509 is operating may refer to a state in which the internal space 508 is ventilated.

[0079] A change in the current operating state of at least one of the supply unit 507 and the discharge unit 509 may include an increase or decrease in the operating state of at least one of the supply unit 507 and the discharge unit 509 compared to the current operating state. An increase or decrease in the operating state of the supply unit 507 refers to an increase or decrease, respectively, in the flow rate per unit time of the gas supplied by the supply unit 507. An increase or decrease in the operating state of the discharge unit 509 refers to an increase or decrease, respectively, in the flow rate per unit time of the gas discharged by the discharge unit 509.

[0080] The providing unit 20 may provide at least one of the first concentration Cf1 and the second concentration Cf2. The providing unit 20 may provide the current CO2 (carbon dioxide) concentration (concentration Cp) and the first concentration Cf1 and the second concentration Cf2. This allows the user of the carbon dioxide concentration prediction system 300 to recognize in advance, at time t2, the CO2 (carbon dioxide) concentration (first concentration Cf1) at time tf (see FIGS. 3 to 6) when the supplying unit 507 and the discharging unit 509 are not in an operating state during time Tf (see FIGS. 3 to 6), and the CO2 (carbon dioxide) concentration (second concentration Cf2) at time tf when the supplying unit 507 and the discharging unit 509 are in an operating state during time Tf.

[0081] When the first concentration Cf1 is equal to or greater than the threshold concentration Cth, the providing unit 20 may provide information recommending that at least one of the supply unit 507 and the discharge unit 509 be operated. The information may be displayed on the display unit 30 or output from the audio output unit 32. The black circle marks shown in FIGS. 7 and 8, the shading shown in FIG. 9, and the text shown in FIG. 10 are examples of information recommending that at least one of the supply unit 507 and the discharge unit 509 be operated.

[0082] 7 to 10 and 12, the concentration Cp, the first concentration Cf1, and the second concentration Cf2 may be displayed on the display unit 30. In the example shown in Fig. 11, the concentration Cp, the first concentration Cf1, and the second concentration Cf2 may be output from the audio output unit 32.

[0083] The prediction unit 10 may control at least one of the supply unit 507 and the discharge unit 509 based on the predicted second concentration Cf2 so that the CO2 (carbon dioxide) concentration in the internal space 508 becomes equal to or less than the threshold concentration Cth. This makes it easier to maintain the CO2 (carbon dioxide) concentration in the internal space 508 at or less than the threshold concentration Cth.

[0084] 14 is a diagram showing another example of a prediction target 500 according to an embodiment of the present invention. In this example, a temperature and humidity sensor 401 is further disposed in an internal space 508. This is different from the prediction target 500 shown in FIG. 1. The temperature and humidity sensor 401 measures the temperature and humidity of the internal space 508.

[0085] The environmental information Ie may further include at least one of the temperature and humidity of the internal space 508. The temperature is referred to as temperature T. The humidity is referred to as humidity H. The temperature T and humidity H may be measured by the temperature and humidity sensor 401.

[0086] The survival period of the infection source 512 may depend on at least one of the temperature T and the humidity H. If the infection source 512 is the SARS-CoV-2 virus (the so-called novel coronavirus), the survival period of the infection source 512 is likely to be longer the greater the deviation from a predetermined temperature T range. The survival period of the infection source 512 is likely to be longer the greater the deviation from a predetermined humidity H range. The predetermined temperature T range is, for example, 20°C or higher and 25°C or lower. The predetermined humidity H is, for example, a relative humidity range of 40% or higher and 60% or lower. Relative humidity refers to the proportion of water vapor contained in the air.

[0087] 15 is a block diagram showing another example of a carbon dioxide concentration prediction system 300 according to an embodiment of the present invention. In this example, the carbon dioxide concentration prediction system 300 further includes a temperature and humidity sensor 401 (see FIG. 14). This is where this example differs from the carbon dioxide concentration prediction system 300 shown in FIG. 13. The environmental information acquisition unit 180 may further include the temperature and humidity sensor 401.

[0088] The prediction unit 10 may predict at least one of the temperature T and humidity H of the internal space 508 based on at least one of the current temperature T and humidity H in the internal space 508. The prediction unit 10 may predict at least one of the temperature T and humidity H of the internal space 508 based on at least one of the current temperature T and humidity H in the internal space 508 and at least one of information related to the CO2 (carbon dioxide) concentration and information related to the living organism 90 (see FIG. 1). The temperature T and the humidity H predicted by the prediction unit 10 may be the temperature T and humidity H at time tf (see FIGS. 3 to 6), respectively.

[0089] The prediction unit 10 may predict at least one of the temperature T and humidity H of the internal space 508 based on at least one of the current temperature T and humidity H in the internal space 508. The prediction unit 10 may predict at least one of the temperature T and humidity H of the internal space 508 in a current operating state of at least one of the supply unit 507 and the discharge unit 509 based on at least one of the current temperature T and humidity H in the internal space 508. The temperature T and the humidity H are defined as a first temperature Temp1 and a first humidity H1, respectively. The first temperature Temp1 and the first humidity H1 may be the temperature T and the humidity H in a state in which at least one of the supply unit 507 and the discharge unit 509 is not operating.

[0090] The prediction unit 10 may predict at least one of the temperature T and humidity H of the internal space 508 when the supply unit 507 and the discharge unit 509 change from their current operating states, based on at least one of the current temperature T and humidity H in the internal space 508. The temperature T and the humidity H are defined as a second temperature T2 and a second humidity H2, respectively. The second temperature T2 and the second humidity H2 may be the temperature T and the humidity H, respectively, when at least one of the supply unit 507 and the discharge unit 509 is operating.

[0091] The providing unit 20 may further provide at least one of the temperature T and humidity H of the internal space 508. The providing unit 20 may further provide at least one of the first temperature Temp1 and first humidity H1 of the internal space 508 predicted by the predicting unit 10. The providing unit 20 may further provide at least one of the second temperature T2 and second humidity H2 of the internal space 508 predicted by the predicting unit 10. This allows the user of the carbon dioxide concentration prediction system 300 to recognize in advance, at time t2, at least one of the first temperature Temp1 and first humidity H1 at time tf, and at least one of the second temperature Temp2 and second humidity H2 at time tf.

[0092] 7 to 10 and 12, a first temperature Temp1, a first humidity H1, a second temperature Temp2, and a second humidity H2 may be displayed on the display unit 30. In the example shown in Fig. 11, the first temperature Temp1, the first humidity H1, the second temperature Temp2, and the second humidity H2 may be output from the audio output unit 32.

[0093] When it is predicted that the first temperature Temp1 is not within the range of the predetermined temperature T, the providing unit 20 may provide information recommending that at least one of the supply unit 507 and the discharge unit 509 be operated. The information may be displayed on the display unit 30 or output from the audio output unit 32.

[0094] Figure 16 is a block diagram showing another example of a carbon dioxide concentration prediction system 300 according to an embodiment of the present invention. In this example, the carbon dioxide concentration prediction system 300 differs from the carbon dioxide concentration prediction system 300 shown in Figure 15 in that it further includes a cost acquisition unit 70. In this example, the carbon dioxide concentration prediction device 100 includes the cost acquisition unit 70.

[0095] The supply unit information Isp and the discharge unit information Iex may include costs associated with the operation of the supply unit 507 and the discharge unit 509. These costs are referred to as costs Ex. If the supply unit 507 is an air conditioning facility, the costs Ex associated with the operation of the supply unit 507 may be the electricity costs associated with the operation of the air conditioning facility. If the discharge unit 509 is a ventilation fan, the costs Ex associated with the operation of the discharge unit 509 may be the electricity costs associated with the operation of the ventilation fan. In this example, the cost acquisition unit 70 acquires at least one of the supply unit information Isp and the discharge unit information Iex.

[0096] The prediction unit 10 may further predict the cost Ex. The prediction unit 10 may predict the cost Ex when the CO2 (carbon dioxide) concentration is a second concentration Cf2. The cost Ex when the CO2 (carbon dioxide) concentration is the second concentration Cf2 may include cases where the operation state of at least one of the supply unit 507 and the discharge unit 509 is increased or decreased compared to the current operation state. When the operation state of at least one of the supply unit 507 and the discharge unit 509 is decreased compared to the current operation state, the cost Ex associated with the operation of the supply unit 507 and the discharge unit 509 predicted by the prediction unit 10 may be smaller than the cost Ex associated with the current operation state of the supply unit 507 and the discharge unit 509.

[0097] The prediction unit 10 may predict the cost Ex based on the supply unit information Isp and the discharge unit information Iex acquired by the cost acquisition unit 70. The prediction unit 10 may predict the cost Ex at time tf (see FIGS. 3 to 6) when the supply unit 507 and the discharge unit 509 are in an operating state during time Tf (see FIGS. 3 to 6). The prediction unit 10 may predict at least one of the first concentration Cf1, the second concentration Cf2, and the cost Ex when the CO2 (carbon dioxide) concentration is the second concentration Cf2.

[0098] The providing unit 20 may further provide the cost Ex. The providing unit 20 may provide the cost Ex in a state in which at least one of the supply unit 507 and the discharge unit 509 is operating. This allows the user of the carbon dioxide concentration prediction system 300 to know in advance, at time t2, the cost Ex at time tf when the supply unit 507 and the discharge unit 509 are operating during time Tf (see FIGS. 3 to 6).

[0099] In addition to the supply unit 507 and the exhaust unit 509, the room 501 (see FIG. 1) may be provided with equipment that does not involve supplying the external gas 503 to the internal space 508 or exhausting the internal gas 504 to the external space 502. The equipment is, for example, an air purifier. The cost Ex may further include costs associated with the operation of the equipment. The cost that further includes costs associated with the operation of the equipment is referred to as cost Ex'.

[0100] The prediction unit 10 may further predict the cost Ex'. The prediction unit 10 may predict the cost Ex' in a state where at least one of the supply unit 507 and the discharge unit 509 is operating and the above-mentioned equipment is operating. The provision unit 20 may further provide the cost Ex'. The provision unit 20 may provide the cost Ex' in a state where at least one of the supply unit 507 and the discharge unit 509 is operating and the above-mentioned equipment is operating.

[0101] 7 to 10 and 12, the cost Ex may be displayed on the display unit 30. In the example shown in FIG.

[0102] The prediction unit 10 may predict the cost Ex when the supply unit 507 and the discharge unit 509 are not operating. This cost Ex is referred to as cost Ex1. The prediction unit 10 may predict the cost Ex when one of the supply unit 507 and the discharge unit 509 is operating. This cost Ex is referred to as cost Ex2. The prediction unit 10 may predict the cost Ex when both the supply unit 507 and the discharge unit 509 are operating. This cost Ex is referred to as cost Ex3.

[0103] The providing unit 20 may provide the costs Ex1, Ex2, and Ex3, so that the user of the carbon dioxide concentration prediction system 300 can recognize the costs Ex1, Ex2, and Ex3 at time tf in advance at time t2, and can compare the costs Ex1, Ex2, and Ex3.

[0104] The prediction unit 10 may predict the CO2 (carbon dioxide) concentration and the cost Ex in the internal space 508 for each operation state of at least one of the supply unit 507 and the discharge unit 509. The operation state of the supply unit 507 may refer to the operation mode of the air conditioning equipment if the supply unit 507 is an air conditioning equipment. The operation mode refers to eco mode, standard mode, premium mode, etc. If the supply unit 507 is an air conditioning equipment, the prediction unit 10 predicts the CO2 (carbon dioxide) concentration and the cost Ex in the internal space 508 for each operation mode of the air conditioning equipment, for example.

[0105] The providing unit 20 may provide the CO2 (carbon dioxide) concentration and the cost Ex in the internal space 508 predicted by the predicting unit 10 for each operating state. In this way, when the supply unit 507 is an air conditioning facility, the user of the carbon dioxide concentration prediction system 300 can recognize the CO2 (carbon dioxide) concentration and the cost Ex when the air conditioning facility is set to each of the eco mode, the standard mode, and the premium mode.

[0106] 7 to 10 and 12, the display unit 30 may display the CO2 (carbon dioxide) concentration and the cost Ex for each operation state of at least one of the supply unit 507 and the discharge unit 509. In the example shown in Fig. 11, the audio output unit 32 may output the CO2 (carbon dioxide) concentration and the cost Ex for each operation state of at least one of the supply unit 507 and the discharge unit 509.

[0107] FIG. 17 is a diagram showing another example of the relationship between the CO2 (carbon dioxide) concentration in the internal space 508 (see FIG. 1) measured by the CO2 (carbon dioxide) sensor 400 (see FIG. 1) and time t. In this example, the supply unit 507 and the discharge unit 509 are not operating during time T1. In this example, the supply unit 507 and the discharge unit 509 start operating at time ts, which is a time between time t2 and time tf. After time ts, the CO2 (carbon dioxide) concentration in the internal space 508 tends to decrease.

[0108] The prediction unit 10 (see FIG. 16) may further predict the operation start timing of at least one of the supply unit 507 (see FIG. 1) and the discharge unit 509 (see FIG. 1) based on the current CO2 (carbon dioxide) concentration (concentration Cp) and the first concentration Cf1. In this example, the operation start timing is time ts. In this example, the first concentration Cf1 is higher than the threshold concentration Cth.

[0109] The prediction unit 10 (see FIG. 16) may further predict the CO2 (carbon dioxide) concentration when the supply unit 507 (see FIG. 1) and the discharge unit 509 (see FIG. 1) start operating at time ts. This CO2 (carbon dioxide) concentration is defined as a third concentration Cf3. The third concentration Cf3 may be the CO2 (carbon dioxide) concentration at time tf. The third concentration Cf3 is likely to be lower than the first concentration Cf1.

[0110] The providing unit 20 (see FIG. 16) may further provide at least one of the time ts and the third concentration Cf3, thereby allowing the user of the carbon dioxide concentration prediction system 300 to recognize the time ts and the third concentration Cf3 in advance at the time t2.

[0111] 7 to 10 and 12, at least one of the time ts and the third concentration Cf3 may be displayed on the display unit 30. In the example shown in Fig. 11, at least one of the time ts and the third concentration Cf3 may be output from the audio output unit 32.

[0112] 18 is a diagram showing another example of a prediction target 500 according to an embodiment of the present invention. A room 501 may be provided with at least one of a plurality of supply units 507 and a plurality of discharge units 509. In this example, the room 501 is provided with both a plurality of supply units 507 and a plurality of discharge units 509. In this example, the room 501 is provided with two supply units 507 (supply unit 507-1 and supply unit 507-2) and two discharge units 509 (discharge unit 509-1 and discharge unit 509-2).

[0113] The multiple supply units 507 may be different types of supply units 507. The type of supply unit 507 may refer to the volume or mass of internal gas 504 discharged per unit time, or may refer to the power consumption of supply unit 507. The same applies to the multiple discharge units 509.

[0114] 19 is a block diagram showing another example of a carbon dioxide concentration prediction system 300 according to an embodiment of the present invention. The airflow information Iaf includes at least one of information on a plurality of supply units 507 (see FIG. 1) and information on a plurality of discharge units 509 (see FIG. 1). In this example, the airflow information Iaf includes at least one of information on two supply units 507 and information on two discharge units 509.

[0115] The information on the supply unit 507 may be information related to the type of the supply unit 507. The information related to the type of the supply unit 507 refers to, for example, the performance, specifications, etc. of the supply unit 507. The same applies to the information on the discharge unit 509.

[0116] When the airflow information Iaf includes information on multiple supply units 507, the prediction unit 10 may predict the second concentration Cf2 for each of the multiple supply units 507. The prediction unit 10 may predict the second concentration Cf2 for each of the multiple supply units 507 when each of the multiple supply units 507 is operating. The prediction unit 10 may predict the second concentration Cf2 when supply unit 507-1 is operating and supply unit 507-2 is not operating, or may predict the second concentration Cf2 when supply unit 507-2 is operating and supply unit 507-1 is not operating. The prediction unit 10 may predict the second concentration Cf2 when supply units 507-1 and 507-2 are operating.

[0117] The providing unit 20 may provide the second concentration Cf for each of the plurality of supply units 507 predicted by the predicting unit 10. This allows the user of the carbon dioxide concentration prediction system 300 to recognize in advance, at time t2, the second concentration Cf2 when one of the plurality of supply units 507 is operating, for each of the supply units 507. This allows the user of the carbon dioxide concentration prediction system 300 to select, for example, a supply unit 507 whose second concentration Cf2 is less than the threshold concentration Cth.

[0118] 7 to 10 and 12, the second concentration Cf2 for each supply unit 507 may be displayed on the display unit 30. In the example shown in Fig. 11, the second concentration Cf2 for each supply unit 507 may be output from the audio output unit 32.

[0119] When the airflow information Iaf includes information on a plurality of discharge units 509, the prediction unit 10 may predict the second concentration Cf2 for each of the plurality of discharge units 509. The prediction unit 10 may predict the second concentration Cf2 for each of the plurality of discharge units 509 in a state where each of the plurality of discharge units 509 is operating. The prediction unit 10 may predict the second concentration Cf2 in a state where the discharge unit 509-1 is operating and the discharge unit 509-2 is not operating, or may predict the second concentration Cf2 in a state where the discharge unit 509-2 is operating and the discharge unit 509-1 is not operating. The prediction unit 10 may predict the second concentration Cf2 in a state where the discharge units 509-1 and 509-2 are operating.

[0120] The providing unit 20 may provide the second concentration Cf2 for each of the plurality of discharge units 509 predicted by the predicting unit 10. The providing unit 20 may provide information on the discharge unit 509 with the lowest second concentration Cf2 among the second concentrations Cf2 for each of the plurality of discharge units 509. The information on the discharge units 509 is, for example, information recommending the discharge unit 509 with the lowest second concentration Cf2.

[0121] The prediction unit 10 may predict at least one of the supply amount Q (see FIG. 1) of the external gas 503 and the discharge amount Q' (see FIG. 1) of the internal gas 504 based on the CO2 (carbon dioxide) concentration in the prediction target 500 (see FIG. 1). In this example, the prediction unit 10 predicts at least one of the supply amount Q and the discharge amount Q' based on the CO2 (carbon dioxide) concentration in the internal space 508. The providing unit 20 may provide at least one of the supply amount Q' and the discharge amount Q' predicted by the prediction unit 10.

[0122] The CO2 (carbon dioxide) concentration in the prediction target 500 may refer to the current CO2 (carbon dioxide) concentration in the prediction target 500. As described above, the current CO2 (carbon dioxide) concentration may refer to the CO2 (carbon dioxide) concentration (concentration Cp) during time T1 in Figures 3 to 6 and 17. The CO2 (carbon dioxide) concentration in the prediction target 500 may refer to the change in CO2 (carbon dioxide) concentration over time in the prediction target 500. In this example, at least one of the supply amount Q and the discharge amount Q' at time tf is predicted based on the CO2 (carbon dioxide) concentration during time T1. The prediction unit 10 may predict at least one of the supply amount Q and the discharge amount Q' using the above-mentioned equation 2.

[0123] As the operating time of the supply unit 507 passes, the performance of the supply unit 507 may deviate from the specifications of the supply unit 507. For example, as the operating time of the supply unit 507 passes, the supply performance of the supply unit 507 may deteriorate due to factors such as contamination of a filter provided in the supply unit 507. When the supply performance of the supply unit 507 deteriorates, the supply amount Q may decrease. The same applies to the discharge amount Q'.

[0124] The predetermined supply amount Q of the supply unit 507 is defined as a supply amount Qp. The supply amount Qp may be a supply amount defined in the specifications of the supply unit 507. A supply amount Q that is lower than the supply amount Qp is defined as a supply amount Qd. Similarly, the predetermined discharge amount Q' of the discharge unit 509 is defined as a discharge amount Qp'. A discharge amount Q' that is lower than the discharge amount Qp' is defined as a discharge amount Qd'.

[0125] The prediction unit 10 may predict at least one of the supply amount Qd and the discharge amount Qd' based on the CO2 (carbon dioxide) concentration in the prediction target 500 (see FIG. 1). The providing unit 20 may provide at least one of the supply amount Qd and the discharge amount Qd' predicted by the prediction unit 10.

[0126] 17, if the supply amount Q decreases, a discrepancy may occur between the CO2 (carbon dioxide) concentration (third concentration Cf3) at time tf predicted by the prediction unit 10 and the actual CO2 (carbon dioxide) concentration at time tf. As a result, the third concentration Cf3 may exceed, for example, the threshold concentration Cth. In this example, the providing unit 20 provides at least one of the supply amount Qd and the discharge amount Qd', so that at time t2 (see FIG. 17), at least one of the supply amount Qd and the discharge amount Qd' can be known in advance.

[0127] 7 to 10 and 12, at least one of the supply amount Qd and the discharge amount Qd' may be displayed on the display unit 30. In the example shown in Fig. 11, at least one of the supply amount Qd and the discharge amount Qd' may be output from the audio output unit 32.

[0128] The prediction unit 10 may further predict the CO2 (carbon dioxide) concentration in the internal space 508 based on the current CO2 (carbon dioxide) concentration (concentration Cp), the environmental information Ie, and at least one of the supply amount Q and the discharge amount Q'. The prediction unit 10 may predict the CO2 (carbon dioxide) concentration in the internal space 508 using the above-mentioned Equation 2 based on the concentration Cp, the environmental information Ie, and at least one of the supply amount Q and the discharge amount Q'. The supply amount Q may be the supply amount Qd. The discharge amount Q' may be the discharge amount Qd'. This allows the prediction unit 10 to predict the CO2 (carbon dioxide) concentration at time ts when the supply amount Q decreases, and to predict the CO2 (carbon dioxide) concentration at time ts when the discharge amount Q' decreases.

[0129] When the supply amount Qd becomes equal to or less than a predetermined supply amount Q, the providing unit 20 may provide information recommending cleaning of the filter of the supply unit 507. When the discharge amount Qd' becomes equal to or less than a predetermined discharge amount Q', the providing unit 20 may provide information recommending cleaning of the filter of the discharge unit 509. This allows the user of the carbon dioxide concentration prediction system 300 to recognize the timing to clean at least one of the filter of the supply unit 507 and the filter of the discharge unit 509.

[0130] As described above, the imaging unit 80 is disposed in the internal space 508 (see FIG. 1 ). Disposing the imaging unit 80 in the internal space 508 may mean that the imaging unit 80 is provided in the internal space 508, or may mean that the imaging unit 80 is provided in a mobile terminal carried by the living body 90 present in the internal space 508.

[0131] The prediction unit 10 may predict the size of the internal space 508 based on an image of the internal space 508. FIG. 12 is an example of the image of the internal space 508. The image may be captured by the imaging unit 80. The prediction unit 10 may predict the CO2 (carbon dioxide) concentration of the internal space 508 further based on the predicted size of the internal space 508. The size of the internal space 508 may be the volume V in the above-mentioned formula 2. The prediction unit 10 may predict the CO2 (carbon dioxide) concentration of the internal space 508 using formula 2.

[0132] The carbon dioxide concentration prediction system 300 may or may not include an imaging unit 80. In this example, the carbon dioxide concentration prediction system 300 includes an imaging unit 80. When the carbon dioxide concentration prediction system 300 includes an imaging unit 80, the carbon dioxide concentration prediction device 100 or the terminal 200 may include the imaging unit 80. In this example, the carbon dioxide concentration prediction device 100 includes the imaging unit 80.

[0133] 20 is a block diagram showing another example of a carbon dioxide concentration prediction system 300 according to an embodiment of the present invention. In this example, the carbon dioxide concentration prediction system 300 further includes a storage unit 40. This is where the present example differs from the carbon dioxide concentration prediction system 300 shown in FIG. 19. In this example, the carbon dioxide concentration prediction device 100 includes the storage unit 40.

[0134] The number information of the living organisms 90 is referred to as number information In. The number information In refers to the number of living organisms 90 present in the internal space 508. The prediction unit 10 may predict the CO2 (carbon dioxide) concentration in the internal space 508 based on the number information In. The living organisms 90 exhale CO2 (carbon dioxide). For this reason, the CO2 (carbon dioxide) concentration in the internal space 508 tends to increase as the number of living organisms 90 present in the internal space 508 increases, and tends to increase as the density of the multiple living organisms 90 increases. For this reason, the amount of CO2 (carbon dioxide) emitted by the living organisms 90 into the internal space 508, E co2 may depend on the numerical information In.

[0135] The motion information of the living organism 90 present in the internal space 508 is defined as motion information Im. The motion information Im refers to motion information of the living organism 90 in the prediction target 500. The motion information Im may be metabolic equivalents (METs) or information on the movement of the living organism 90. The metabolic equivalents (METs) are the amount of O2 (oxygen) consumed by the living organism 90 when the living organism 90 is in an exercising state, normalized by the amount of O2 (oxygen) consumed by the living organism 90 when the living organism 90 is in a resting state.

[0136] The prediction unit 10 may predict the CO2 (carbon dioxide) concentration in the internal space 508 based on the exercise information Im. When the amount of exercise of the living body 90 increases, the exhalation cycle of the living body 90 tends to become shorter, and the total amount of exhaled air of the living body 90 in a predetermined time tends to increase. Therefore, the more the amount of exercise of the living body 90 increases, the more likely the CO2 (carbon dioxide) concentration in the internal space 508 tends to increase. Therefore, the amount of CO2 (carbon dioxide) emitted by the living body 90 into the internal space 508, E co2 may depend on the motion information Im.

[0137] The number of living organisms 90 present in the internal space 508 is defined as N. The amount of exercise of the living organisms 90 present in the internal space 508 is defined as M. M may be the metabolic equivalents (METs) described above. The amount of CO2 (carbon dioxide) emitted into the internal space 508 by the living organisms 90 is defined as E. co2 is expressed by the following formula 3.

number

[0138] 21 is a diagram showing an example of a method for predicting the CO2 (carbon dioxide) concentration in the internal space 508. When the current CO2 (carbon dioxide) concentration (concentration Cp) in the internal space 508 and environmental information Ie are input, the concentration inference model 120 outputs a CO2 (carbon dioxide) concentration (concentration Cf) predicted for the concentration Cp and the environmental information Ie. The prediction unit 10 may acquire the concentration Cf output by the concentration inference model 120.

[0139] The carbon dioxide concentration prediction system 300 may include a concentration inference model 120. The carbon dioxide concentration prediction device 100 may also include the concentration inference model 120. The concentration inference model 120 may be generated by machine learning the relationship between the concentration Cp and environmental information Ie and the concentration Cf. The concentration inference model 120 may be stored in the storage unit 40.

[0140] The prediction unit 10 may predict the CO2 (carbon dioxide) concentration in the internal space 508 based on the plan for the living organism 90 to stay in the internal space 508. The prediction unit 10 may predict the emission rate E co2 The corrected emission amount E co2 , the emission amount E co2 The prediction unit 10 calculates the discharge amount E while the living organism 90 is staying in the internal space 508 based on the planned stay of the living organism 90 in the internal space 508. co2 The prediction unit 10 may correct the discharge amount E while the living body 90 is staying in the internal space 508. co2 may be corrected by Equation 3.

[0141] The planned stay of the living organism 90 in the internal space 508 may be stored in the memory unit 40. The planned stay may refer to a behavior schedule of the living organism 90. The memory unit 40 may store the planned time when the living organism 90 enters the internal space 508 from outside the internal space 508, the planned duration of stay in the internal space 508, the planned time when the living organism 90 leaves the internal space 508 from outside the internal space 508, and the like.

[0142] The prediction unit 10 calculates the discharge amount E co2 The CO2 (carbon dioxide) concentration in the internal space 508 may be predicted based on the calculated CO2 (carbon dioxide) concentration. The predicted CO2 (carbon dioxide) concentration is defined as the concentration Ca1. The prediction unit 10 calculates the discharge amount E co2 is the corrected emission amount E co2 The CO2 (carbon dioxide) concentration (concentration Cf (see FIGS. 3 to 6 and 17)) in this case may be predicted by Equation 2. This allows the prediction unit 10 to predict the concentration Cf that reflects the planned stay of the living organism 90 in the internal space 508.

[0143] The prediction unit 10 may further predict the operation start timing (time ts in FIG. 17) of at least one of the supply unit 507 (see FIG. 1) and the discharge unit 509 (see FIG. 1) based on the current CO2 (carbon dioxide) concentration (concentration Cp (see FIG. 17)) and the concentration Ca1. The prediction unit 10 may further predict a fourth concentration Cf4 when the operation of at least one of the supply unit 507 and the discharge unit 509 starts at time ts. The fourth concentration Cf4 may be the CO2 (carbon dioxide) concentration at time tf (see FIG. 17). The fourth concentration Cf4 may be different from the third concentration Cf3.

[0144] The providing unit 20 may further provide at least one of the time ts and the fourth concentration Cf4, thereby allowing the user of the carbon dioxide concentration prediction system 300 to recognize in advance, at time t2, the time ts and the fourth concentration Cf4 that reflect the planned stay of the living organism 90 in the internal space 508.

[0145] The prediction unit 10 may acquire the number information In based on an image of the internal space 508 captured by the imaging unit 80. The image may be a still image or a moving image. The prediction unit 10 may acquire the number information In by recording an entry into the internal space 508. The number information In may be manually input to the carbon dioxide concentration prediction system 300. The prediction unit 10 may acquire motion information Im based on an image of the internal space 508 captured by the imaging unit 80. The prediction unit 10 may predict the CO2 (carbon dioxide) concentration in the internal space 508 based on the number information In and the motion information Im.

[0146] FIG. 22 is a diagram showing an example of a method for acquiring motion information Im of a living organism 90. When an image of the internal space 508 in which the living organism 90 is captured is input, the motion information inference model 130 outputs motion information Im predicted for the image. The metabolic equivalents (METs) of the living organism 90 due to each activity are generally known, such as 3 METs when the living organism 90 is walking, 4 METs when the living organism 90 is riding a bicycle, and 6 METs when the living organism 90 is jogging. The prediction unit 10 may acquire the motion information Im output by the motion information inference model 130.

[0147] The motion information inference model 130 may be generated by machine learning the relationship between an image of the internal space 508 in which the living body 90 is captured and the motion information Im of the living body 90. For example, when an image of the living body 90 jogging is input, the motion information inference model 130 may output 6 METs as the motion information Im. The motion information inference model 130 may be stored in the storage unit 40.

[0148] The prediction unit 10 calculates the discharge amount E based on the number information In and the movement information Im. co2 The corrected emission amount E co2 , the emission amount E co2 The prediction unit 10 calculates the discharge amount E based on the number information In and the motion information Im, which are based on the image captured by the imaging unit 80. co2 The prediction unit 10 may correct the discharge amount E by using Equation 3 based on the number information In and the exercise information Im. co2 may be corrected.

[0149] The prediction unit 10 calculates the discharge amount E co2 The CO2 (carbon dioxide) concentration in the internal space 508 may be predicted based on the calculated CO2 (carbon dioxide) concentration. The predicted CO2 (carbon dioxide) concentration is defined as the concentration Ca2. The prediction unit 10 calculates the discharge amount E co2 The corrected emission amount E is calculated using Equation 3. co2The concentration Cf (see FIGS. 3 to 6 and 17) in this case may be predicted by Equation 2. This allows the prediction unit 10 to predict the concentration Cf that reflects the number N and the amount of exercise M of the living organisms 90. Note that the number information In and the exercise information Im may be stored in the storage unit 40.

[0150] When the prediction unit 10 acquires the numerical information In and the motion information Im based on the image captured by the imaging unit 80, the carbon dioxide concentration prediction system 300 does not need to include the storage unit 40. The planned stay of the living body 90 in the internal space 508 may change. For this reason, the prediction unit 10 co2 is corrected by Equation 3, the prediction unit 10 can more easily predict the CO2 (carbon dioxide) concentration in the internal space 508 accurately even if the planned stay of the living organism 90 is changed.

[0151] The prediction unit 10 may acquire the motion information Im based on the sound of the living organism 90 acquired by the audio acquisition unit 82. The prediction unit 10 may acquire the motion information Im based on at least one of an image of the internal space 508 and the sound of the living organism 90. The sound of the living organism 90 may refer to the sound emitted from the sound-producing organs (mainly the mouth and throat). The information on the sound of the living organism 90 may include at least one of the sound of a voice, a cough, and a sneeze emitted from the living organism 90. The louder the sound emitted from the living organism 90, the higher the momentum M of the living organism 90 is likely to be. Therefore, the prediction unit 10 can acquire the motion information Im based on the sound of the living organism 90. The prediction unit 10 may acquire the motion information Im based on the image of the internal space 508 and the sound of the living organism 90.

[0152] Information on the sound of the living body 90 is referred to as sound information Iv. The sound information Iv may refer to at least one of the volume and frequency of the sound emitted from the living body 90, or may refer to the voiceprint of the living body 90. The sound information Iv may include gender information of the sound of the living body 90. Obtaining motion information Im based on the sound of the living body 90 may refer to obtaining motion information Im based on the sound information Iv. The sound information Iv may be stored in the storage unit 40.

[0153] Information on sounds other than those of the living organism 90 is referred to as sound information Iv'. Sound information Iv' may refer to at least one of the volume and frequency of sounds emitted from sources other than the living organism 90, or may refer to sounds generated by the exercise of the living organism 90. For example, if the living organism 90 is exercising on a treadmill, sound information Iv' may include at least one of the sound of the treadmill operating and the sound of the living organism 90's feet kicking the floor or the treadmill.

[0154] FIG. 23 is a diagram showing another example of a method for acquiring motion information Im of a living organism 90. When at least one of sound information Iv and sound information Iv' is input, the motion information inference model 140 outputs motion information Im predicted for at least one of the sound information Iv and sound information Iv'. The prediction unit 10 may acquire the motion information Im output by the motion information inference model 140. The motion information inference model 140 may be generated by machine learning the relationship between at least one of the sound information Iv and sound information Iv' and the motion information Im of the living organism 90. The motion information inference model 140 may be stored in the storage unit 40.

[0155] The prediction unit 10 calculates the discharge amount E based on the number information In acquired based on the image of the internal space 508 and the motion information Im acquired based on the sound of the living body 90. co2 The prediction unit 10 calculates the discharge amount E based on the numerical information In and the exercise information Im using Equation 3. co2 may be corrected.

[0156] The prediction unit 10 may further predict the operation start timing (time ts in FIG. 17) of at least one of the supply unit 507 (see FIG. 1) and the discharge unit 509 (see FIG. 1) based on the current CO2 (carbon dioxide) concentration (concentration Cp (see FIG. 17)) and the concentration Ca2. The prediction unit 10 may further predict a fourth concentration Cf4 when the operation of at least one of the supply unit 507 and the discharge unit 509 is started at time ts.

[0157] The providing unit 20 may further provide at least one of the time ts and the fourth concentration Cf4, thereby allowing the user of the carbon dioxide concentration prediction system 300 to recognize the time ts and the fourth concentration Cf4 that reflect the state of stay of the living organism 90 in the internal space 508.

[0158] 24 is a block diagram showing another example of a carbon dioxide concentration prediction system 300 according to an embodiment of the present invention. In this example, the carbon dioxide concentration prediction system 300 further includes a determination unit 42. This is where this example differs from the carbon dioxide concentration prediction system 300 shown in FIG. 20. In this example, the carbon dioxide concentration prediction device 100 includes the determination unit 42.

[0159] The determination unit 42 determines whether the concentration Cf is larger than the threshold concentration Cth. As described above, the concentration Cf is the CO2 (carbon dioxide) concentration at time tf (see FIGS. 3 to 6). The determination unit 42 may determine whether the first concentration Cf1 is larger than the threshold concentration Cth, or may determine whether the second concentration Cf2 is larger than the threshold concentration Cth. As described above, the second concentration Cf2 is the CO2 (carbon dioxide) concentration predicted by the prediction unit 10, and is the CO2 (carbon dioxide) concentration when at least one of the supply unit 507 and the discharge unit 509 changes from the current operating state. The threshold concentration Cth may be stored in the storage unit 40.

[0160] When the determination unit 42 determines that the concentration Cf is equal to or greater than the threshold concentration Cth, the providing unit 20 may provide warning information regarding the CO2 (carbon dioxide) concentration in the internal space 508. In this example, when the determination unit 42 determines that the second concentration Cf2 is equal to or greater than the threshold concentration Cth, the providing unit 20 provides the warning information. This allows the user of the carbon dioxide concentration prediction system 300 to recognize in advance at time t2 (see FIGS. 3 to 6) that the second concentration Cf2 may become equal to or greater than the threshold concentration Cth.

[0161] 7, 8, and 10 are examples of providing warning information related to CO2 (carbon dioxide) concentration. In the examples shown in Fig. 9, 11, and 12, the warning information related to CO2 (carbon dioxide) concentration may also be displayed on the display unit 30. In the example shown in Fig. 11, the warning information related to CO2 (carbon dioxide) concentration may be output from the audio output unit 32.

[0162] When the CO2 (carbon dioxide) concentration in the internal space 508 is equal to or higher than the threshold concentration Cth, the supply unit 507 may supply the external gas 503 to the internal space 508, or the discharge unit 509 may discharge the internal gas 504 to the outside of the internal space 508. The supply unit 507 may start supplying the external gas 503 to the internal space 508 at time t2 (see FIGS. 3 to 6). The discharge unit 509 may start discharging the internal gas 504 to the outside of the internal space 508 at time t2. This makes it easier for the CO2 (carbon dioxide) concentration (concentration Cf) at time tf (see FIGS. 3 to 6) to become less than the threshold concentration Cth.

[0163] FIG. 25 is a conceptual diagram showing an example of the relationship between labor costs and ventilation volume. Labor costs are defined as labor costs ExL. Ventilation volume is defined as ventilation volume Va. Labor costs ExL are costs incurred when an employer of a laborer engages the laborer in labor. In this example, labor costs ExL are costs incurred when an employer of a living organism 90 (see FIG. 1) engages the living organism 90 in labor in the internal space 508 (see FIG. 1). In this example, ventilation volume Va refers to at least one of the amount of external gas 503 supplied to the internal space 508 and the amount of internal gas 504 discharged to the outside of the internal space 508. Note that labor costs ExL may also be personnel costs.

[0164] The relationship between labor cost ExL and ventilation volume Va is expressed by the following equation 4.

number

[0165] As the CO2 (carbon dioxide) concentration in the internal space 508 (see FIG. 1) increases, the living organism 90 (see FIG. 1) becomes more susceptible to infection by the infection source 512. The infection source 512 may be a cold virus, etc. Therefore, as the CO2 (carbon dioxide) concentration in the internal space 508 increases, the labor productivity of the living organism 90 tends to decrease. Therefore, as the CO2 (carbon dioxide) concentration in the internal space 508 increases, the labor cost ExL of the living organism 90 tends to increase.

[0166] A predetermined threshold value of labor cost ExL is defined as threshold value LCth. Threshold value LCth may be the upper limit of labor cost ExL that is acceptable to the user. Threshold value LCth may be determined by the user. In FIG. 25, correlations above threshold value LCth are indicated by bold lines. Ventilation volume Va corresponding to threshold value LCth is defined as ventilation volume R.

[0167] The memory unit 40 (see FIG. 20 or FIG. 24) may store a correlation between the CO2 (carbon dioxide) concentration in the internal space 508 (see FIG. 1) and the labor cost ExL of the living organism 90 (see FIG. 1). The prediction unit 10 may predict the labor cost ExL of the living organism 90 corresponding to the CO2 (carbon dioxide) concentration in the internal space 508 based on the correlation stored in the memory unit 40.

[0168] When the labor cost ExL of the living organism 90 predicted by the prediction unit 10 is equal to or greater than the threshold value LCth, the supply unit 507 may supply the external gas 503 to the internal space 508, or the discharge unit 509 may discharge the internal gas 504 to the outside of the internal space 508. The supply unit 507 may supply the external gas 503 to the internal space 508, or the discharge unit 509 may discharge the internal gas 504 to the outside of the internal space 508, which may refer to making the ventilation volume Va shown in Fig. 25 greater than the ventilation volume R. This makes it easier for the labor cost ExL of the living organism 90 to become less than the threshold value LCth.

[0169] FIG. 26 is a block diagram showing another example of a carbon dioxide concentration prediction system 300 according to an embodiment of the present invention. The carbon dioxide concentration prediction system 300 may include a plurality of terminals 200. In this example, the carbon dioxide concentration prediction system 300 includes two terminals 200 (terminal 200-1 and terminal 200-2). In this example, the terminal 200 includes a memory unit 40. In this example, the terminal 200 further includes a transmission unit 51. In this example, the carbon dioxide concentration prediction device 100 further includes a reception unit 53. This example differs from the carbon dioxide concentration prediction system 300 shown in FIG. 24 in these respects.

[0170] Each of the multiple terminals 200 may have a providing unit 20 and a storage unit 40. In this example, terminal 200-1 has a providing unit 20-1 and a storage unit 40-1, and terminal 200-2 has a providing unit 20-2 and a storage unit 40-2. In this example, providing unit 20-1 has a control unit 18-1, a display unit 30-1, and an audio output unit 32-1. In this example, providing unit 20-2 has a control unit 18-2, a display unit 30-2, and an audio output unit 32-2.

[0171] The storage units 40 may each store a threshold concentration Cth. In this example, the threshold concentration Cth stored in storage unit 40-1 is referred to as threshold concentration Cth1, and the threshold concentration Cth stored in storage unit 40-2 is referred to as threshold concentration Cth2. The threshold concentrations Cth1 and Cth2 may be different. In this example, the threshold concentration Cth is determined in advance for each terminal 200.

[0172] Each of the multiple terminals 200 may have a transmitter 51. In this example, terminal 200-1 has a transmitter 51-1, and terminal 200-2 has a transmitter 51-2. The transmitter 51 may transmit the threshold concentration Cth stored in the memory unit 40. In this example, the transmitter 51-1 transmits the threshold concentration Cth1, and the transmitter 51-2 transmits the threshold concentration Cth2.

[0173] The receiving unit 53 receives the threshold concentration Cth transmitted by the transmitting unit 51 of each of the multiple terminals 200. In this example, the receiving unit 53 receives the threshold concentration Cth1 and the threshold concentration Cth2.

[0174] The determination unit 42 determines whether the second concentration Cf2 predicted by the prediction unit 10 is larger or smaller than each threshold concentration Cth stored in the memory unit 40 of each of the terminals 200. As described above, the second concentration Cf2 is the CO2 (carbon dioxide) concentration predicted by the prediction unit 10, and is the CO2 (carbon dioxide) concentration when at least one of the supply unit 507 and the discharge unit 509 changes from its current operating state. In this example, the determination unit 42 compares the second concentration Cf2 predicted by the prediction unit 10 with the threshold concentration Cth1. In this example, the determination unit 42 compares the second concentration Cf2 with the threshold concentration Cth2.

[0175] When the determination unit 42 determines that the second concentration Cf2 is greater than the threshold concentration Cth stored in the memory unit 40 of the one terminal 200, the provision unit 20 of the one terminal 200 may provide warning information regarding the CO2 (carbon dioxide) concentration in the internal space 508. When the one terminal 200 is terminal 200-1, when the determination unit 42 determines that the second concentration Cf2 is greater than the threshold concentration Cth1 stored in the memory unit 40-1, the provision unit 20-1 provides the warning information.

[0176] The threshold concentration Cth for each of the multiple terminals 200 may be determined by the user of each of the multiple terminals 200. This allows the user of the terminal 200 to provide warning information when the second concentration Cf2 is greater than the desired threshold concentration Cth.

[0177] Fig. 27 is a block diagram showing another example of a carbon dioxide concentration prediction system 300 according to an embodiment of the present invention. In this example, the carbon dioxide concentration prediction device 100 does not include a prediction unit 10, and the terminal 200 includes the prediction unit 10. In this respect, this example differs from the example shown in Fig. 19.

[0178] The transmitting unit 50 may transmit at least one of the CO2 (carbon dioxide) concentration measured by the CO2 (carbon dioxide) sensor 400, the environmental information Ie acquired by the environmental information acquiring unit 180, and the cost Ex acquired by the cost acquiring unit 70 to the terminal 200.

[0179] 28 is a flowchart showing an example of a carbon dioxide concentration prediction method according to an embodiment of the present invention. The carbon dioxide concentration prediction method includes a prediction step S100 and a provision step S102. The carbon dioxide concentration prediction method according to an embodiment of the present invention will be described using a carbon dioxide concentration prediction system 300 shown in FIG. 20 as an example.

[0180] The prediction step S100 is a step in which the prediction unit 10 predicts the CO2 (carbon dioxide) concentration in the internal space 508 (see FIG. 1) of the prediction target 500 based on the current CO2 (carbon dioxide) concentration in the internal space 508 and environmental information Ie of the prediction target 500. The current CO2 (carbon dioxide) concentration may refer to the CO2 (carbon dioxide) concentration (concentration Cp) during time T1 in FIG. 3. The environmental information Ie is information related to the living organism 90 (see FIG. 1) and may be information that can affect the risk of infection by the infection source 512 in the prediction target 500. The environmental information Ie may be information related to the living organism 90 (see FIG. 1) and may affect the risk of infection by the infection source 512 in the prediction target 500. co2 (See Figure 1)

[0181] The prediction step S100 may include a CO2 (carbon dioxide) concentration measurement step S1002, a storage step S1004, an environmental information acquisition step S1006, a prediction step S1008, and a prediction termination determination step S1010. The CO2 (carbon dioxide) concentration measurement step S1002 is a step in which the CO2 (carbon dioxide) sensor 400 measures the CO2 (carbon dioxide) concentration in the internal space 508. The storage step S1004 is a step in which the storage unit 40 stores the CO2 (carbon dioxide) concentration measured in the CO2 (carbon dioxide) concentration measurement step S1002. The environmental information acquisition step S1006 is a step in which the environmental information acquisition unit 180 acquires environmental information Ie for the prediction target 500.

[0182] The prediction step S1008 is a step in which the prediction unit 10 predicts the CO2 (carbon dioxide) concentration in the internal space 508 based on the CO2 (carbon dioxide) concentration measured in the CO2 (carbon dioxide) concentration measurement step S1002 and the environmental information Ie acquired in the environmental information acquisition step S1006. The prediction step S1008 may be a step in which the prediction unit 10 predicts the CO2 (carbon dioxide) concentration in the internal space 508 based on the CO2 (carbon dioxide) concentration stored in the storage step S1004 and the environmental information Ie acquired in the environmental information acquisition step S1006. The CO2 (carbon dioxide) concentration predicted in the prediction step S1008 may be a CO2 (carbon dioxide) concentration predicted based on a plurality of CO2 (carbon dioxide) concentrations measured at a plurality of times from time t1 to time t2 shown in FIGS. 3 to 6. The time t2 may be updated sequentially. The CO2 (carbon dioxide) concentration predicted in the prediction step S1008 may continue to be updated as the time t2 is updated.

[0183] Time t2 may continue to be updated until a predetermined time later than time t1. This predetermined time is designated time t2e. When time t2 reaches time t2e, updating of time t2 may be terminated.

[0184] The prediction step S1008 may be a step in which the prediction unit 10 predicts at least one of the first concentration Cf1, the second concentration Cf2, and the cost Ex when the CO2 (carbon dioxide) concentration is the second concentration Cf2. As described above, the first concentration Cf1 is the CO2 (carbon dioxide) concentration in the current operating states of the supply unit 507 and the discharge unit 509, and the second concentration Cf2 is the CO2 (carbon dioxide) concentration when at least one of the supply unit 507 and the discharge unit 509 changes from the current operating state.

[0185] The prediction end determination step S1010 is a step in which the prediction unit 10 determines whether the prediction of the CO2 (carbon dioxide) concentration in the internal space 508 has ended. Determining whether the prediction unit 10 has ended the prediction of the CO2 (carbon dioxide) concentration may be a step in which the prediction unit 10 determines whether time t2e has been reached. If the prediction unit 10 determines that the prediction of the CO2 (carbon dioxide) concentration has not ended (time t2e has not been reached), the carbon dioxide concentration prediction method returns to the CO2 (carbon dioxide) concentration measurement step S1002. If the prediction unit 10 determines that the prediction of the CO2 (carbon dioxide) concentration has ended (time t2e has been reached), the carbon dioxide concentration prediction method proceeds to the provision step S102.

[0186] If the carbon dioxide concentration prediction method has not progressed to the providing step S102 (if it is in the prediction step S100), the display unit 30 may display that the prediction of the CO2 (carbon dioxide) concentration is currently being calculated. For example, the display unit 30 may display "CO2 concentration prediction in progress" or "re-prediction in progress."

[0187] The providing step S102 is a step in which the providing unit 20 provides the CO2 (carbon dioxide) concentration predicted in the prediction step S100. The providing step S102 may be a step in which the providing unit 20 provides the current CO2 (carbon dioxide) concentration in the prediction target 500 and the CO2 (carbon dioxide) concentration predicted in the prediction step S100. The CO2 (carbon dioxide) concentration predicted in the prediction step S100 may be the CO2 (carbon dioxide) concentration (concentration Cf) at time tf shown in FIGS. 3 to 6.

[0188] The provision step S102 may be a step in which the control unit 18 causes the display unit 30 to display the concentrations Cp and Cf. The provision step S102 may also be a step in which the control unit 18 causes the audio output unit 32 to output the concentrations Cp and Cf. The provision step S102 may also be a step in which the provision unit 20 provides at least one of the current CO2 (carbon dioxide) concentration in the prediction target 500, the first concentration Cf1, the second concentration Cf2, and the cost Ex when the CO2 (carbon dioxide) concentration is the second concentration Cf2.

[0189] Fig. 29 is a flowchart showing another example of a carbon dioxide concentration prediction method according to an embodiment of the present invention. In this example, the carbon dioxide concentration prediction method further includes a determination step S104, a warning step S106, and a warning termination determination step S108. In this respect, the carbon dioxide concentration prediction method of this example differs from the carbon dioxide concentration prediction method shown in Fig. 28.

[0190] The determination step S104 is a step in which the determination unit 42 determines whether the CO2 (carbon dioxide) concentration (concentration Cf) predicted in the prediction step S100 is larger than the threshold concentration Cth, which is a threshold value for the CO2 (carbon dioxide) concentration in the internal space 508. If it is determined in the determination step S104 that the concentration Cf is equal to or larger than the threshold concentration Cth, the carbon dioxide concentration prediction method proceeds to the warning step S106. If the determination unit 42 determines that the concentration Cf is smaller than the threshold concentration Cth, the carbon dioxide concentration prediction method may return to the CO2 (carbon dioxide) concentration measurement step S1002.

[0191] The warning step S106 is a step in which the providing unit 20 provides a warning regarding the CO2 (carbon dioxide) concentration in the internal space 508. The warning step S106 may be a step in which the control unit 18 causes the display unit 30 to display the concentration Cf and vibrates the terminal 200. The warning step S106 may also be a step in which the control unit 18 causes the audio output unit 32 to output the concentration Cf.

[0192] The warning termination determination step S108 is a step in which the determination unit 42 determines whether the warning in the warning step S106 has ended. If it is determined in the warning termination determination step S108 that the warning has not ended, the carbon dioxide concentration prediction method may return to the CO2 (carbon dioxide) concentration measurement step S1002. If it is determined in the warning termination determination step S108 that the warning has ended, the carbon dioxide concentration prediction method ends the prediction.

[0193] When the carbon dioxide concentration prediction method returns to the CO2 (carbon dioxide) concentration measurement step S1002, the warning provided in the warning step S106 may continue to be provided regardless of whether the carbon dioxide concentration prediction method is in the prediction step S100, the provision step S102, or the determination step S104. The case where it is determined in the warning termination determination step S108 that the warning has ended may be when the warning has been provided for a predetermined time in the warning step S106, or may be when the power to the carbon dioxide concentration prediction system 300 is turned off.

[0194] Various embodiments of the present invention may be described with reference to flowcharts and block diagrams. In various embodiments of the present invention, the blocks may represent (1) stages in a process where operations are performed or (2) sections of apparatus responsible for performing the operations.

[0195] Certain steps may be performed by dedicated circuitry, programmable circuitry, or a processor. Certain sections may be implemented by dedicated circuitry, programmable circuitry, or a processor. The programmable circuitry and the processor may be supplied with computer-readable instructions. The computer-readable instructions may be stored on a computer-readable medium.

[0196] The dedicated circuitry may include at least one of digital hardware circuitry and analog hardware circuitry. The dedicated circuitry may include at least one of integrated circuits (ICs) and discrete circuits. The programmable circuitry may include hardware circuits for logical AND, OR, XOR, NAND, NOR, or other logical operations. The programmable circuitry may include reconfigurable hardware circuits including flip-flops, registers, memory elements such as field programmable gate arrays (FPGAs), programmable logic arrays (PLAs), and the like.

[0197] The computer-readable medium may include any tangible device capable of storing instructions that are executed by a suitable device. By including the computer-readable medium as a tangible device, the computer-readable medium having instructions stored on the device comprises an article of manufacture containing instructions that can be executed to create means for performing the operations specified in the flowcharts or block diagrams.

[0198] The computer-readable medium may be, for example, an electronic storage medium, a magnetic storage medium, an optical storage medium, an electromagnetic storage medium, a semiconductor storage medium, etc. More specifically, the computer-readable medium may be, for example, a floppy disk, a diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an electrically erasable programmable read-only memory (EEPROM), a static random access memory (SRAM), a compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a Blu-ray (RTM) disk, a memory stick, an integrated circuit card, etc.

[0199] The computer-readable instructions may include any of assembler instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, source code, and object code. The source code and object code may be written in any combination of one or more programming languages, including object-oriented programming languages ​​and conventional procedural programming languages. Object-oriented programming languages ​​may be, for example, Smalltalk®, JAVA®, C++, etc. Procedural programming languages ​​may be, for example, the "C" programming language.

[0200] The computer-readable instructions may be provided to a processor or programmable circuitry of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus locally or over a wide-area network (WAN) such as a local area network (LAN), the Internet, etc. The processor or programmable circuitry of the general-purpose computer, special-purpose computer, or other programmable data processing apparatus may execute the computer-readable instructions to create means for performing the operations specified in the flowchart shown in Figure 28 or 29 or the block diagram shown in Figure 2, 13, 15, 16, 19, 20, 24, 26, or 27. The processor may be, for example, a computer processor, processing unit, microprocessor, digital signal processor, controller, microcontroller, etc.

[0201] Figure 30 is a diagram showing an example of a computer 2200 in which the carbon dioxide concentration prediction apparatus 100 or the carbon dioxide concentration prediction system 300 according to an embodiment of the present invention may be embodied, in whole or in part. A program installed on the computer 2200 can cause the computer 2200 to perform operations associated with the carbon dioxide concentration prediction apparatus 100 or the carbon dioxide concentration prediction system 300 according to an embodiment of the present invention, or to function as one or more sections of the carbon dioxide concentration prediction apparatus 100 or the carbon dioxide concentration prediction system 300, or to execute the operations or one or more sections, or to execute each step of the carbon dioxide concentration prediction method of the present invention (see Figure 28 or Figure 29). The program can be executed by the CPU 2212 to cause the computer 2200 to perform specific operations associated with some or all of the blocks in the flowcharts (Figure 28 or Figure 29) and block diagrams (Figure 2, Figure 13, Figure 15, Figure 16, Figure 19, Figure 20, Figure 24, Figure 26, or Figure 27) described herein.

[0202] A computer 2200 according to one embodiment of the present invention includes a CPU 2212, a RAM 2214, a graphics controller 2216, and a display device 2218. The CPU 2212, the RAM 2214, the graphics controller 2216, and the display device 2218 are interconnected by a host controller 2210. The computer 2200 further includes input / output units such as a communication interface 2222, a hard disk drive 2224, a DVD-ROM drive 2226, and an IC card drive. The communication interface 2222, the hard disk drive 2224, the DVD-ROM drive 2226, and the IC card drive are connected to the host controller 2210 via an input / output controller 2220. The computer further includes legacy input / output units such as a ROM 2230 and a keyboard 2242. The ROM 2230, the keyboard 2242, and the like are connected to the input / output controller 2220 via an input / output chip 2240.

[0203] The CPU 2212 controls each unit by operating in accordance with programs stored in the ROM 2230 and the RAM 2214. The graphics controller 2216 acquires image data generated by the CPU 2212 into a frame buffer or the like provided in the RAM 2214 or into the RAM 2214, thereby causing the image data to be displayed on the display device 2218.

[0204] The communication interface 2222 communicates with other electronic devices via a network. The hard disk drive 2224 stores programs and data used by the CPU 2212 in the computer 2200. The DVD-ROM drive 2226 reads programs or data from the DVD-ROM 2201 and provides the read programs or data to the hard disk drive 2224 via the RAM 2214. The IC card drive reads programs and data from an IC card or writes programs and data to an IC card.

[0205] The ROM 2230 stores a boot program or the like that is executed by the computer 2200 upon activation, or a program that depends on the hardware of the computer 2200. The input / output chip 2240 may connect various input / output units to the input / output controller 2220 via a parallel port, a serial port, a keyboard port, a mouse port, or the like.

[0206] The programs are provided by a computer-readable medium such as a DVD-ROM 2201 or an IC card. The programs are read from the computer-readable medium, installed in the hard disk drive 2224, RAM 2214, or ROM 2230, which are also examples of computer-readable media, and executed by the CPU 2212. Information processing described in these programs is read by the computer 2200, and brings about cooperation between the programs and the various types of hardware resources described above. An apparatus or method may be configured by realizing information manipulation or processing according to the use of the computer 2200.

[0207] For example, when communication is performed between the computer 2200 and an external device, the CPU 2212 may execute a communication program loaded into the RAM 2214 and instruct the communication interface 2222 to perform communication processing based on the processing described in the communication program. Under the control of the CPU 2212, the communication interface 2222 reads transmission data stored in a transmission buffer processing area provided in the RAM 2214, the hard disk drive 2224, the DVD-ROM 2201, or a recording medium such as an IC card, and transmits the read transmission data to the network, or writes reception data received from the network to a reception buffer processing area or the like provided on the recording medium.

[0208] The CPU 2212 may read all or a necessary portion of a file or database stored on an external recording medium such as the hard disk drive 2224, the DVD-ROM drive 2226 (DVD-ROM 2201), an IC card, etc. into the RAM 2214. The CPU 2212 may perform various types of processing on the data on the RAM 2214. The CPU 2212 may then write the processed data back to the external recording medium.

[0209] Various types of information, such as various types of programs, data, tables, and databases, may be stored on the recording medium and processed. The CPU 2212 may perform various types of processing on data read from the RAM 2214, including various types of operations, information processing, conditional decisions, conditional branches, unconditional branches, information search or replacement, etc., specified by the instruction sequences of the programs described in this disclosure. The CPU 2212 may write the results back to the RAM 2214.

[0210] CPU 2212 may search for information in a file, database, etc. in the recording medium. For example, if a plurality of entries each having an attribute value of a first attribute associated with an attribute value of a second attribute are stored in the recording medium, CPU 2212 may search the plurality of entries for an entry that matches a condition specified by the attribute value of the first attribute, read the attribute value of the second attribute stored in the entry, and by reading the second attribute value, obtain the attribute value of the second attribute associated with the first attribute that satisfies a predetermined condition.

[0211] The above-described programs or software modules may be stored on the computer 2200 or in a computer-readable medium of the computer 2200. A recording medium such as a hard disk or RAM provided in a server system connected to a dedicated communication network or the Internet can be used as the computer-readable medium. The programs may be provided to the computer 2200 by the recording medium.

[0212] Although the present invention has been described above using embodiments, the technical scope of the present invention is not limited to the scope described in the above embodiments. It will be apparent to those skilled in the art that various modifications and improvements can be made to the above embodiments. It is clear from the claims that such modifications and improvements can also be included within the technical scope of the present invention.

[0213] It should be noted that the execution order of each process, such as operations, procedures, steps, and stages, in the devices, systems, programs, and methods shown in the claims, specifications, and drawings is not specifically stated as "before," "prior to," etc., and that the processes can be performed in any order unless the output of a previous process is used in a subsequent process. Even if the operational flow in the claims, specifications, and drawings is described using "first," "next," etc. for convenience, this does not mean that the processes must be performed in this order.

[0214] Although the present invention has been described above using embodiments, the technical scope of the present invention is not limited to the scope described in the above embodiments. It will be apparent to those skilled in the art that various modifications and improvements can be made to the above embodiments. It is clear from the claims that such modifications and improvements can also be included within the technical scope of the present invention.

[0215] It should be noted that the execution order of each process, such as operations, procedures, steps, and stages, in the devices, systems, programs, and methods shown in the claims, specifications, and drawings is not specifically stated as "before," "prior to," etc., and that the processes can be performed in any order unless the output of a previous process is used in a subsequent process. Even if the operational flow in the claims, specifications, and drawings is described using "first," "next," etc. for convenience, this does not mean that the processes must be performed in this order. [Explanation of symbols]

[0216] 10... Prediction unit, 18... Control unit, 20... Providing unit, 30... Display unit, 32... Audio output unit, 40... Memory unit, 42... Determination unit, 50... Transmitting unit, 51... Transmitting unit, 52... Receiving unit, 53... Receiving unit, 70... Cost acquisition unit, 80... Imaging unit, 82... Audio acquisition unit, 90... Living body, 100... Carbon dioxide concentration prediction device, 180... Environmental information acquisition unit, 200... Terminal, 300... Carbon dioxide concentration prediction system, 400... Sensor, 401... Temperature and humidity sensor, 500... Prediction target, 501... Room, 502... External space, 503... External gas, 5 04···Internal gas, 507···Supply section, 508···Internal space, 509···Exhaust section, 512···Source of infection, 2200···Computer, 2201···DVD-ROM, 2210···Host controller, 2212···CPU, 2214···RAM, 2216···Graphics controller, 2218···Display device, 2220···Input / output controller, 2222···Communication interface, 2224··Hard disk drive, 2226···DVD-ROM drive, 2230···ROM, 2240···Input / output chip, 2242···Keyboard

Claims

1. a prediction unit that predicts a carbon dioxide concentration in an internal space based on a current carbon dioxide concentration in the internal space of a prediction target and environmental information about the prediction target; a providing unit that provides the carbon dioxide concentration predicted by the predicting unit; Equipped with The internal space contains a gas containing carbon dioxide, The environmental information further includes airflow information in the interior space, the airflow information includes at least one of information on a supply unit that supplies an external gas outside the internal space to the internal space and information on a discharge unit that discharges an internal gas, which is the gas in the internal space, to the outside of the internal space; the information on the supply unit and the information on the discharge unit include costs associated with the operation of the supply unit and the discharge unit, the prediction unit predicts a second concentration, which is the carbon dioxide concentration, in a case where at least one of the supply unit and the discharge unit changes from the current operating state; the providing unit provides the second concentration predicted by the predicting unit; the prediction unit controls at least one of the supply unit and the discharge unit based on the predicted second concentration so that the carbon dioxide concentration in the internal space becomes equal to or lower than a threshold concentration adjusted according to the risk of infection in a predetermined area or a predetermined period of time. Carbon dioxide concentration prediction system.

2. The prediction unit further predicts at least one of a first concentration, which is the carbon dioxide concentration in the current operating state of the supply unit and the discharge unit, and the cost when the carbon dioxide concentration is the second concentration; The providing unit further provides at least one of the current carbon dioxide concentration predicted by the predicting unit, the first concentration, and the cost. The carbon dioxide concentration prediction system according to claim 1 .

3. the prediction unit further predicts a time change in the carbon dioxide concentration in the prediction object from the current carbon dioxide concentration to the carbon dioxide concentration predicted based on the current carbon dioxide concentration and the environmental information, The providing unit further provides the change in the carbon dioxide concentration over time. The carbon dioxide concentration prediction system according to claim 2 .

4. the environmental information includes at least one of a temperature and a humidity of the internal space; the prediction unit predicts at least one of the temperature and humidity of the internal space when at least one of the supply unit and the discharge unit changes from the current operating state based on at least one of the current temperature and humidity in the internal space; The providing unit further provides at least one of the temperature and humidity of the internal space predicted by the predicting unit. The carbon dioxide concentration prediction system according to claim 1 .

5. 3. The carbon dioxide concentration prediction system of claim 2, wherein the first concentration is the carbon dioxide concentration when the supply unit and the discharge unit are not operating, and the second concentration is the carbon dioxide concentration when at least one of the supply unit and the discharge unit is operating.

6. the prediction unit predicts the carbon dioxide concentration in the internal space and the cost for each operation state of at least one of the supply unit and the discharge unit; The providing unit provides the carbon dioxide concentration in the internal space predicted by the predicting unit and the cost for each operating state. The carbon dioxide concentration prediction system according to claim 2 .

7. the prediction unit further predicts an operation start timing of at least one of the supply unit and the discharge unit based on the current carbon dioxide concentration and the first concentration, and further predicts a third concentration which is the carbon dioxide concentration when operation of at least one of the supply unit and the discharge unit is started at the operation start timing; the providing unit further provides at least one of the operation start timing and the third concentration. The carbon dioxide concentration prediction system according to claim 2 .

8. the prediction unit further predicts the size of the internal space based on an image of the internal space captured by an imaging unit, and further predicts the carbon dioxide concentration of the internal space based on the predicted size of the internal space. The carbon dioxide concentration prediction system according to claim 1 .

9. the environmental information includes motion information of a living organism present in the internal space, The carbon dioxide concentration prediction system according to claim 1 , wherein the prediction unit further predicts the carbon dioxide concentration in the internal space based on motion information of the living body.

10. The carbon dioxide concentration prediction system of claim 9, wherein the prediction unit acquires movement information of the living body based on at least one of an image of the internal space captured by an imaging unit and a sound of the living body acquired by an audio acquisition unit.

11. The carbon dioxide concentration prediction system of claim 9, wherein the prediction unit corrects the amount of carbon dioxide emitted by the living organism based on the number information of the living organism and the movement information of the living organism, and predicts the carbon dioxide concentration in the internal space based on the corrected amount of carbon dioxide.

12. Multiple devices and a determination unit that determines whether the carbon dioxide concentration predicted by the prediction unit is larger or smaller than a threshold concentration that is a threshold value of the carbon dioxide concentration in the internal space; Furthermore, each of the plurality of terminals has a storage unit and the providing unit; the storage unit stores the threshold concentration; the prediction unit predicts the second concentration; the determining unit determines a magnitude relationship between the second concentration predicted by the predicting unit and each of the threshold concentrations stored in each of the storage units; When the determination unit determines that the second concentration is greater than the threshold concentration stored in the memory unit of one of the plurality of terminals, the provision unit of the one terminal provides warning information regarding the carbon dioxide concentration in the internal space. The carbon dioxide concentration prediction system according to claim 1 .

13. the storage unit stores a correlation between the carbon dioxide concentration in the internal space and the labor cost of the living organism present in the internal space; The prediction unit predicts a labor cost of the living organism corresponding to the carbon dioxide concentration in the internal space based on the correlation stored in the storage unit, When the labor cost of the living body predicted by the prediction unit is equal to or greater than a predetermined labor cost threshold, the supply unit supplies the external gas to the internal space, or the exhaust unit exhausts the internal gas to the outside of the internal space. The carbon dioxide concentration prediction system according to claim 12.

14. the prediction unit further predicts an operation start timing of at least one of the supply unit and the discharge unit based on the current carbon dioxide concentration and the predicted carbon dioxide concentration in the internal space, and further predicts a fourth concentration which is the carbon dioxide concentration when operation of at least one of the supply unit and the discharge unit is started at the operation start timing; the providing unit further provides at least one of the operation start timing and the fourth concentration. The carbon dioxide concentration prediction system according to claim 2 .

15. When the amount of the internal gas discharged to the outside of the internal space by the discharge part becomes equal to or less than a predetermined amount of discharge, the providing unit provides information recommending cleaning of a filter of the exhaust unit. The carbon dioxide concentration prediction system according to any one of claims 1 to 14.

16. The prediction unit predicts the humidity of the internal space when at least one of the supply unit and the discharge unit changes from the current operating state based on the current humidity in the internal space. The carbon dioxide concentration prediction system according to claim 1 .

17. The environmental information includes at least one of the sounds of a voice, a cough, and a sneeze. The carbon dioxide concentration prediction system according to any one of claims 1 to 14.

18. The airflow information includes information about an air purifier that is installed in the internal space but is not involved in supplying the external gas to the internal space, The information on the supply unit, the information on the discharge unit, and the information on the air purifier include costs associated with the operation of the supply unit, the discharge unit, and the air purifier. The carbon dioxide concentration prediction system according to any one of claims 1 to 14.

19. a prediction step in which a prediction unit predicts a carbon dioxide concentration in an internal space of a prediction target based on a current carbon dioxide concentration in the internal space of the prediction target and environmental information about the prediction target; a providing step in which a providing unit provides the carbon dioxide concentration predicted in the prediction step; Equipped with The internal space contains a gas containing carbon dioxide, The environmental information further includes airflow information in the interior space, the airflow information includes at least one of information on a supply unit that supplies an external gas outside the internal space to the internal space and information on a discharge unit that discharges an internal gas, which is the gas in the internal space, to the outside of the internal space; the information on the supply unit and the information on the discharge unit include costs associated with the operation of the supply unit and the discharge unit, the prediction step is a step in which the prediction unit predicts a second concentration, which is the carbon dioxide concentration, in a case where at least one of the supply unit and the discharge unit changes from the current operating state, the providing step is a step in which the providing unit provides the second concentration predicted by the prediction unit, The method further includes a control step in which the prediction unit controls at least one of the supply unit and the discharge unit based on the predicted second concentration so that the carbon dioxide concentration in the internal space becomes equal to or lower than a threshold concentration adjusted according to the risk of infection in a predetermined area or for a predetermined period of time. Carbon dioxide concentration prediction method.

20. A carbon dioxide concentration prediction program for causing a computer to execute the carbon dioxide concentration prediction method according to claim 19.